Generic
Geekbench AI Score
2081
Single Precision Score
1005
Half Precision Score
2948
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 17 2025 04:07 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-7600K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock Z270 Extreme4 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-7600K |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 3.79 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1611
299.7 IPS |
|
|
Image Classification (HP)
|
100% |
394
73.3 IPS |
|
|
Image Classification (Q)
|
96% |
2192
409.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
820
13.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
523
8.48 IPS |
|
|
Image Segmentation (Q)
|
97% |
2672
43.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3240
3.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
2582
3.01 IPS |
|
|
Pose Estimation (Q)
|
86% |
5285
6.25 IPS |
|
|
Object Detection (SP)
|
100% |
1460
115.8 IPS |
|
|
Object Detection (HP)
|
100% |
482
38.2 IPS |
|
|
Object Detection (Q)
|
58% |
1590
173.7 IPS |
|
|
Face Detection (SP)
|
100% |
2676
31.8 IPS |
|
|
Face Detection (HP)
|
100% |
1003
11.9 IPS |
|
|
Face Detection (Q)
|
96% |
4497
53.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4037
31.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1352
10.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
5414
43.2 IPS |
|
|
Style Transfer (SP)
|
100% |
7854
10.1 IPS |
|
|
Style Transfer (HP)
|
100% |
5999
7.71 IPS |
|
|
Style Transfer (Q)
|
87% |
9566
12.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1470
54.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1276
47.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2399
88.9 IPS |
|
|
Text Classification (SP)
|
100% |
1225
1.64 KIPS |
|
|
Text Classification (HP)
|
100% |
671
896.2 IPS |
|
|
Text Classification (Q)
|
97% |
1061
1.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
1601
27.6 IPS |
|
|
Machine Translation (HP)
|
100% |
591
10.2 IPS |
|
|
Machine Translation (Q)
|
68% |
1704
32.9 IPS |
