Micro-Star International Co., Ltd. MS-7E06
Geekbench AI Score
31806
Single Precision Score
54049
Half Precision Score
24356
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | June 19 2025 10:15 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E06 |
| Motherboard | Micro-Star International Co., Ltd. Z790 GAMING PLUS WIFI (MS-7E06) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) i9-14900KS |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13797
2.57 KIPS |
|
|
Image Classification (HP)
|
100% |
21106
3.93 KIPS |
|
|
Image Classification (Q)
|
100% |
12272
2.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20746
336.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
27815
450.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
18618
302.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
165381
193.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
653655
762.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
148867
174.4 IPS |
|
|
Object Detection (SP)
|
100% |
16622
1.32 KIPS |
|
|
Object Detection (HP)
|
100% |
26280
2.08 KIPS |
|
|
Object Detection (Q)
|
86% |
13972
1.12 KIPS |
|
|
Face Detection (SP)
|
100% |
44532
529.1 IPS |
|
|
Face Detection (HP)
|
100% |
60279
716.2 IPS |
|
|
Face Detection (Q)
|
97% |
37668
449.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
82676
637.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
145738
1.12 KIPS |
|
|
Depth Estimation (Q)
|
78% |
63468
506.8 IPS |
|
|
Style Transfer (SP)
|
100% |
315883
406.1 IPS |
|
|
Style Transfer (HP)
|
100% |
987469
1.27 KIPS |
|
|
Style Transfer (Q)
|
98% |
261857
337.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
48081
1.78 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
79534
2.94 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36965
1.37 KIPS |
|
|
Text Classification (SP)
|
100% |
4210
5.62 KIPS |
|
|
Text Classification (HP)
|
100% |
5308
7.09 KIPS |
|
|
Text Classification (Q)
|
97% |
2428
3.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
5720
98.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5761
99.2 IPS |
|
|
Machine Translation (Q)
|
70% |
2752
51.6 IPS |
