Generic
Geekbench AI Score
3222
Single Precision Score
3251
Half Precision Score
4699
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | February 18 2025 08:24 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-7600K CPU @ 3.80GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Professionnel (64-bit) |
| Model | Generic |
| Motherboard | ASRock Z170 OC Formula |
| Power Plan | Performances leves |
| CPU Information | |
|---|---|
| Name | Intel Core i5-7600K |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 158 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% |
2004
372.6 IPS |
|
|
Image Classification (HP)
|
100% |
1986
369.4 IPS |
|
|
Image Classification (Q)
|
100% |
2865
532.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2053
33.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2047
33.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3258
53.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3758
4.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
3900
4.55 IPS |
|
|
Pose Estimation (Q)
|
94% |
7059
8.28 IPS |
|
|
Object Detection (SP)
|
100% |
1898
150.5 IPS |
|
|
Object Detection (HP)
|
100% |
1924
152.6 IPS |
|
|
Object Detection (Q)
|
87% |
2905
233.0 IPS |
|
|
Face Detection (SP)
|
100% |
4205
50.0 IPS |
|
|
Face Detection (HP)
|
100% |
4237
50.3 IPS |
|
|
Face Detection (Q)
|
97% |
7700
91.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5208
40.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
5251
40.5 IPS |
|
|
Depth Estimation (Q)
|
81% |
8332
65.8 IPS |
|
|
Style Transfer (SP)
|
100% |
11138
14.3 IPS |
|
|
Style Transfer (HP)
|
100% |
11379
14.6 IPS |
|
|
Style Transfer (Q)
|
98% |
21127
27.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2362
87.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2448
90.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4335
160.6 IPS |
|
|
Text Classification (SP)
|
100% |
2392
3.19 KIPS |
|
|
Text Classification (HP)
|
100% |
2281
3.04 KIPS |
|
|
Text Classification (Q)
|
91% |
1531
2.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
2987
51.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3063
52.8 IPS |
|
|
Machine Translation (Q)
|
100% |
3054
52.6 IPS |
