Generic
Geekbench AI Score
934
Single Precision Score
547
Half Precision Score
843
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | 44rtie |
| Upload Date | May 01 2025 08:55 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-3570K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock Z68 Extreme4 Gen3 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-3570K |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 58 Stepping 9 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 4.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
657
122.1 IPS |
|
|
Image Classification (HP)
|
100% |
234
43.4 IPS |
|
|
Image Classification (Q)
|
96% |
671
125.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
395
6.41 IPS |
|
|
Image Segmentation (HP)
|
100% |
300
4.87 IPS |
|
|
Image Segmentation (Q)
|
97% |
535
8.71 IPS |
|
|
Pose Estimation (SP)
|
100% |
1557
1.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
1292
1.51 IPS |
|
|
Pose Estimation (Q)
|
86% |
1443
1.71 IPS |
|
|
Object Detection (SP)
|
100% |
598
47.4 IPS |
|
|
Object Detection (HP)
|
100% |
272
21.6 IPS |
|
|
Object Detection (Q)
|
58% |
497
54.3 IPS |
|
|
Face Detection (SP)
|
100% |
1005
11.9 IPS |
|
|
Face Detection (HP)
|
100% |
522
6.20 IPS |
|
|
Face Detection (Q)
|
96% |
1111
13.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1843
14.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
817
6.29 IPS |
|
|
Depth Estimation (Q)
|
78% |
1497
11.9 IPS |
|
|
Style Transfer (SP)
|
100% |
3530
4.54 IPS |
|
|
Style Transfer (HP)
|
100% |
3160
4.06 IPS |
|
|
Style Transfer (Q)
|
87% |
2637
3.43 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
721
26.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
686
25.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
730
27.0 IPS |
|
|
Text Classification (SP)
|
100% |
695
927.5 IPS |
|
|
Text Classification (HP)
|
100% |
365
486.6 IPS |
|
|
Text Classification (Q)
|
97% |
346
463.5 IPS |
|
|
Machine Translation (SP)
|
100% |
645
11.1 IPS |
|
|
Machine Translation (HP)
|
100% |
290
4.99 IPS |
|
|
Machine Translation (Q)
|
68% |
643
12.4 IPS |
