Gigabyte Technology Co., Ltd. To be filled by O.E.M.
Geekbench AI Score
672
Single Precision Score
438
Half Precision Score
732
Quantized Score
Geekbench AI 1.4.0 for Windows x86 (64-bit)
Result Information
| User | HPM |
| Upload Date | August 28 2025 03:19 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-3570K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. To be filled by O.E.M. |
| Motherboard | Gigabyte Technology Co., Ltd. Z77X-D3H |
| Power Plan | Hchstleistung |
| CPU Information | |
|---|---|
| Name | Intel Core i5-3570K |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 58 Stepping 9 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
306
56.9 IPS |
|
|
Image Classification (HP)
|
100% |
93
17.3 IPS |
|
|
Image Classification (Q)
|
96% |
500
93.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
152
2.46 IPS |
|
|
Image Segmentation (HP)
|
100% |
274
4.45 IPS |
|
|
Image Segmentation (Q)
|
97% |
422
6.86 IPS |
|
|
Pose Estimation (SP)
|
100% |
1106
1.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
1008
1.18 IPS |
|
|
Pose Estimation (Q)
|
86% |
1175
1.39 IPS |
|
|
Object Detection (SP)
|
100% |
566
44.9 IPS |
|
|
Object Detection (HP)
|
100% |
234
18.6 IPS |
|
|
Object Detection (Q)
|
58% |
401
43.8 IPS |
|
|
Face Detection (SP)
|
100% |
1182
14.0 IPS |
|
|
Face Detection (HP)
|
100% |
450
5.35 IPS |
|
|
Face Detection (Q)
|
96% |
1043
12.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1304
10.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
736
5.67 IPS |
|
|
Depth Estimation (Q)
|
78% |
1239
9.86 IPS |
|
|
Style Transfer (SP)
|
100% |
2910
3.74 IPS |
|
|
Style Transfer (HP)
|
100% |
2474
3.18 IPS |
|
|
Style Transfer (Q)
|
87% |
2502
3.26 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
578
21.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
506
18.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
397
14.7 IPS |
|
|
Text Classification (SP)
|
100% |
363
484.0 IPS |
|
|
Text Classification (HP)
|
100% |
321
428.4 IPS |
|
|
Text Classification (Q)
|
97% |
477
638.6 IPS |
|
|
Machine Translation (SP)
|
100% |
691
11.9 IPS |
|
|
Machine Translation (HP)
|
100% |
327
5.63 IPS |
|
|
Machine Translation (Q)
|
68% |
732
14.1 IPS |
