System manufacturer System Product Name
Geekbench AI Score
1633
Single Precision Score
799
Half Precision Score
2034
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 24 2025 03:51 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-6600 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME H270-PLUS |
| Power Plan | Bilanciato |
| CPU Information | |
|---|---|
| Name | Intel Core i5-6600 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 94 Stepping 3 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1174
218.3 IPS |
|
|
Image Classification (HP)
|
100% |
293
54.5 IPS |
|
|
Image Classification (Q)
|
96% |
1771
330.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
645
10.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
433
7.02 IPS |
|
|
Image Segmentation (Q)
|
97% |
1444
23.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2648
3.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
2116
2.47 IPS |
|
|
Pose Estimation (Q)
|
86% |
4563
5.39 IPS |
|
|
Object Detection (SP)
|
100% |
1159
91.9 IPS |
|
|
Object Detection (HP)
|
100% |
374
29.6 IPS |
|
|
Object Detection (Q)
|
58% |
1150
125.7 IPS |
|
|
Face Detection (SP)
|
100% |
1913
22.7 IPS |
|
|
Face Detection (HP)
|
100% |
767
9.12 IPS |
|
|
Face Detection (Q)
|
96% |
3456
41.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3193
24.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1094
8.43 IPS |
|
|
Depth Estimation (Q)
|
78% |
4312
34.4 IPS |
|
|
Style Transfer (SP)
|
100% |
6103
7.85 IPS |
|
|
Style Transfer (HP)
|
100% |
4781
6.15 IPS |
|
|
Style Transfer (Q)
|
87% |
7482
9.74 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1195
44.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
987
36.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2065
76.5 IPS |
|
|
Text Classification (SP)
|
100% |
1058
1.41 KIPS |
|
|
Text Classification (HP)
|
100% |
565
754.3 IPS |
|
|
Text Classification (Q)
|
97% |
321
430.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1233
21.2 IPS |
|
|
Machine Translation (HP)
|
100% |
473
8.15 IPS |
|
|
Machine Translation (Q)
|
68% |
1225
23.7 IPS |
