System manufacturer System Product Name
Geekbench AI Score
1594
Single Precision Score
835
Half Precision Score
1717
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 07:36 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-6600K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. Z170-A |
| Power Plan | Equilibrado |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
968
180.1 IPS |
|
|
Image Classification (HP)
|
100% |
328
61.0 IPS |
|
|
Image Classification (Q)
|
96% |
1413
263.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
727
11.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
498
8.07 IPS |
|
|
Image Segmentation (Q)
|
97% |
1139
18.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3124
3.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
2500
2.92 IPS |
|
|
Pose Estimation (Q)
|
87% |
5289
6.25 IPS |
|
|
Object Detection (SP)
|
100% |
1036
82.2 IPS |
|
|
Object Detection (HP)
|
100% |
404
32.0 IPS |
|
|
Object Detection (Q)
|
86% |
1063
85.4 IPS |
|
|
Face Detection (SP)
|
100% |
1456
17.3 IPS |
|
|
Face Detection (HP)
|
100% |
860
10.2 IPS |
|
|
Face Detection (Q)
|
96% |
2269
27.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3318
25.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1241
9.56 IPS |
|
|
Depth Estimation (Q)
|
77% |
2859
22.9 IPS |
|
|
Style Transfer (SP)
|
100% |
7076
9.10 IPS |
|
|
Style Transfer (HP)
|
100% |
5356
6.88 IPS |
|
|
Style Transfer (Q)
|
87% |
7729
10.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1349
49.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
892
32.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1469
54.4 IPS |
|
|
Text Classification (SP)
|
100% |
774
1.03 KIPS |
|
|
Text Classification (HP)
|
100% |
492
657.4 IPS |
|
|
Text Classification (Q)
|
97% |
334
447.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1306
22.5 IPS |
|
|
Machine Translation (HP)
|
100% |
401
6.91 IPS |
|
|
Machine Translation (Q)
|
60% |
1001
22.3 IPS |
