Gigabyte Technology Co., Ltd. To be filled by O.E.M.
Geekbench AI Score
2265
Single Precision Score
2290
Half Precision Score
3325
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | andreyshunt |
| Upload Date | July 18 2025 02:35 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-6600K CPU @ 3.50GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. To be filled by O.E.M. |
| Motherboard | Gigabyte Technology Co., Ltd. H170M-D3H-CF |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-6600K |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 94 Stepping 3 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1218
226.5 IPS |
|
|
Image Classification (HP)
|
100% |
1329
247.1 IPS |
|
|
Image Classification (Q)
|
100% |
2158
401.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1361
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1374
22.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2413
39.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2909
3.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
2941
3.43 IPS |
|
|
Pose Estimation (Q)
|
94% |
5389
6.32 IPS |
|
|
Object Detection (SP)
|
100% |
1322
104.8 IPS |
|
|
Object Detection (HP)
|
100% |
1324
105.0 IPS |
|
|
Object Detection (Q)
|
87% |
2226
178.5 IPS |
|
|
Face Detection (SP)
|
100% |
2802
33.3 IPS |
|
|
Face Detection (HP)
|
100% |
2780
33.0 IPS |
|
|
Face Detection (Q)
|
97% |
5774
68.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3584
27.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3574
27.5 IPS |
|
|
Depth Estimation (Q)
|
81% |
5977
47.1 IPS |
|
|
Style Transfer (SP)
|
100% |
8076
10.4 IPS |
|
|
Style Transfer (HP)
|
100% |
8098
10.4 IPS |
|
|
Style Transfer (Q)
|
98% |
15006
19.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1696
62.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1715
63.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3109
115.2 IPS |
|
|
Text Classification (SP)
|
100% |
1733
2.31 KIPS |
|
|
Text Classification (HP)
|
100% |
1735
2.32 KIPS |
|
|
Text Classification (Q)
|
91% |
708
952.2 IPS |
|
|
Machine Translation (SP)
|
100% |
2341
40.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2335
40.2 IPS |
|
|
Machine Translation (Q)
|
100% |
2323
40.0 IPS |
