AZW SEi14
Geekbench AI Score
8038
Single Precision Score
12705
Half Precision Score
19013
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 15 2025 09:32 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | AZW SEi14 |
| Motherboard | AZW SEi14 |
| Power Plan | Zrwnowaony |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 5 125H |
| Topology | 1 Processor, 14 Cores, 18 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5879
1.09 KIPS |
|
|
Image Classification (HP)
|
100% |
8515
1.58 KIPS |
|
|
Image Classification (Q)
|
100% |
10175
1.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4563
74.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
11593
187.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
17447
282.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
22179
25.9 IPS |
|
|
Pose Estimation (HP)
|
99% |
19890
23.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
70542
82.6 IPS |
|
|
Object Detection (SP)
|
100% |
5419
429.9 IPS |
|
|
Object Detection (HP)
|
100% |
8966
711.2 IPS |
|
|
Object Detection (Q)
|
88% |
12938
1.04 KIPS |
|
|
Face Detection (SP)
|
100% |
8408
99.9 IPS |
|
|
Face Detection (HP)
|
100% |
17248
204.9 IPS |
|
|
Face Detection (Q)
|
100% |
27778
330.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
18957
146.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
33033
255.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
38564
299.7 IPS |
|
|
Style Transfer (SP)
|
100% |
51647
66.4 IPS |
|
|
Style Transfer (HP)
|
100% |
70612
90.8 IPS |
|
|
Style Transfer (Q)
|
98% |
162209
209.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9025
333.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15603
576.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22403
829.7 IPS |
|
|
Text Classification (SP)
|
71% |
1748
2.53 KIPS |
|
|
Text Classification (HP)
|
71% |
2727
3.94 KIPS |
|
|
Text Classification (Q)
|
92% |
2710
3.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
2690
46.3 IPS |
|
|
Machine Translation (HP)
|
96% |
3638
62.9 IPS |
|
|
Machine Translation (Q)
|
100% |
3612
62.2 IPS |
