ASUSTeK Computer Inc. K54C
Geekbench AI Score
291
Single Precision Score
177
Half Precision Score
239
Quantized Score
Geekbench AI 1.3.0 for Windows x86 (64-bit)
Result Information
| Upload Date | June 13 2025 04:34 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i3-2310M |
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | ASUSTeK Computer Inc. K54C |
| Motherboard | ASUSTeK Computer Inc. K54C |
| CPU Information | |
|---|---|
| Name | Intel Core i3-2310M |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 42 Stepping 7 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 4.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
210
39.1 IPS |
|
|
Image Classification (HP)
|
100% |
86
16.0 IPS |
|
|
Image Classification (Q)
|
96% |
180
33.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
160
2.59 IPS |
|
|
Image Segmentation (HP)
|
100% |
117
1.90 IPS |
|
|
Image Segmentation (Q)
|
97% |
167
2.72 IPS |
|
|
Pose Estimation (SP)
|
100% |
372
0.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
297
0.35 IPS |
|
|
Pose Estimation (Q)
|
86% |
331
0.39 IPS |
|
|
Object Detection (SP)
|
100% |
177
14.0 IPS |
|
|
Object Detection (HP)
|
100% |
95
7.56 IPS |
|
|
Object Detection (Q)
|
58% |
126
13.8 IPS |
|
|
Face Detection (SP)
|
100% |
464
5.51 IPS |
|
|
Face Detection (HP)
|
100% |
231
2.75 IPS |
|
|
Face Detection (Q)
|
96% |
297
3.54 IPS |
|
|
Depth Estimation (SP)
|
100% |
432
3.33 IPS |
|
|
Depth Estimation (HP)
|
99% |
262
2.02 IPS |
|
|
Depth Estimation (Q)
|
78% |
382
3.04 IPS |
|
|
Style Transfer (SP)
|
100% |
836
1.08 IPS |
|
|
Style Transfer (HP)
|
100% |
732
0.94 IPS |
|
|
Style Transfer (Q)
|
87% |
728
0.95 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
206
7.61 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
167
6.18 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
190
7.03 IPS |
|
|
Text Classification (SP)
|
100% |
188
251.6 IPS |
|
|
Text Classification (HP)
|
100% |
117
156.2 IPS |
|
|
Text Classification (Q)
|
97% |
110
147.8 IPS |
|
|
Machine Translation (SP)
|
100% |
311
5.35 IPS |
|
|
Machine Translation (HP)
|
100% |
124
2.13 IPS |
|
|
Machine Translation (Q)
|
68% |
283
5.46 IPS |
