Gigabyte Technology Co., Ltd. To be filled by O.E.M.
Geekbench AI Score
1574
Single Precision Score
794
Half Precision Score
1972
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | andreyshunt |
| Upload Date | July 18 2025 01:57 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-6600K |
| 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% |
1123
208.9 IPS |
|
|
Image Classification (HP)
|
100% |
336
62.5 IPS |
|
|
Image Classification (Q)
|
96% |
1762
329.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
642
10.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
436
7.07 IPS |
|
|
Image Segmentation (Q)
|
97% |
1486
24.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2680
3.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
2165
2.53 IPS |
|
|
Pose Estimation (Q)
|
86% |
4450
5.26 IPS |
|
|
Object Detection (SP)
|
100% |
1065
84.5 IPS |
|
|
Object Detection (HP)
|
100% |
370
29.4 IPS |
|
|
Object Detection (Q)
|
58% |
1113
121.6 IPS |
|
|
Face Detection (SP)
|
100% |
2068
24.6 IPS |
|
|
Face Detection (HP)
|
100% |
808
9.60 IPS |
|
|
Face Detection (Q)
|
96% |
3097
36.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2554
19.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
862
6.64 IPS |
|
|
Depth Estimation (Q)
|
78% |
3323
26.5 IPS |
|
|
Style Transfer (SP)
|
100% |
4333
5.57 IPS |
|
|
Style Transfer (HP)
|
100% |
3194
4.11 IPS |
|
|
Style Transfer (Q)
|
87% |
5953
7.75 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1223
45.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1125
41.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2223
82.4 IPS |
|
|
Text Classification (SP)
|
100% |
1187
1.58 KIPS |
|
|
Text Classification (HP)
|
100% |
627
837.4 IPS |
|
|
Text Classification (Q)
|
97% |
357
478.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1373
23.6 IPS |
|
|
Machine Translation (HP)
|
100% |
544
9.37 IPS |
|
|
Machine Translation (Q)
|
68% |
1411
27.3 IPS |
