System manufacturer System Product Name
Geekbench AI Score
1293
Single Precision Score
674
Half Precision Score
1747
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 21 2025 01:46 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-6500 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. H110M-D |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-6500 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 94 Stepping 3 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
979
182.1 IPS |
|
|
Image Classification (HP)
|
100% |
246
45.7 IPS |
|
|
Image Classification (Q)
|
96% |
1565
292.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
489
7.93 IPS |
|
|
Image Segmentation (HP)
|
100% |
347
5.63 IPS |
|
|
Image Segmentation (Q)
|
97% |
1292
21.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2104
2.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
1850
2.16 IPS |
|
|
Pose Estimation (Q)
|
86% |
4090
4.83 IPS |
|
|
Object Detection (SP)
|
100% |
928
73.6 IPS |
|
|
Object Detection (HP)
|
100% |
313
24.8 IPS |
|
|
Object Detection (Q)
|
58% |
1060
115.8 IPS |
|
|
Face Detection (SP)
|
100% |
1259
15.0 IPS |
|
|
Face Detection (HP)
|
100% |
587
6.97 IPS |
|
|
Face Detection (Q)
|
96% |
2842
33.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2511
19.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
941
7.25 IPS |
|
|
Depth Estimation (Q)
|
78% |
3722
29.7 IPS |
|
|
Style Transfer (SP)
|
100% |
5048
6.49 IPS |
|
|
Style Transfer (HP)
|
100% |
4275
5.50 IPS |
|
|
Style Transfer (Q)
|
87% |
5366
6.98 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
986
36.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
858
31.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1815
67.2 IPS |
|
|
Text Classification (SP)
|
100% |
964
1.29 KIPS |
|
|
Text Classification (HP)
|
100% |
526
701.7 IPS |
|
|
Text Classification (Q)
|
97% |
301
403.3 IPS |
|
|
Machine Translation (SP)
|
100% |
926
16.0 IPS |
|
|
Machine Translation (HP)
|
100% |
370
6.37 IPS |
|
|
Machine Translation (Q)
|
68% |
977
18.9 IPS |
