HP HP Slim Desktop S01-pF1xxx
Geekbench AI Score
2209
Single Precision Score
1061
Half Precision Score
3105
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 18 2025 03:56 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-10400 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP HP Slim Desktop S01-pF1xxx |
| Motherboard | HP 8768 |
| Power Plan | HP Recommended |
| CPU Information | |
|---|---|
| Name | Intel Core i5-10400 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 3 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1808
336.3 IPS |
|
|
Image Classification (HP)
|
100% |
395
73.5 IPS |
|
|
Image Classification (Q)
|
96% |
2885
538.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
890
14.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
583
9.44 IPS |
|
|
Image Segmentation (Q)
|
97% |
1876
30.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3714
4.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
3125
3.65 IPS |
|
|
Pose Estimation (Q)
|
86% |
7028
8.31 IPS |
|
|
Object Detection (SP)
|
100% |
1695
134.5 IPS |
|
|
Object Detection (HP)
|
100% |
476
37.7 IPS |
|
|
Object Detection (Q)
|
58% |
1975
215.8 IPS |
|
|
Face Detection (SP)
|
100% |
2202
26.2 IPS |
|
|
Face Detection (HP)
|
100% |
933
11.1 IPS |
|
|
Face Detection (Q)
|
96% |
4761
56.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4415
34.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1571
12.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
6196
49.4 IPS |
|
|
Style Transfer (SP)
|
100% |
9238
11.9 IPS |
|
|
Style Transfer (HP)
|
100% |
7321
9.41 IPS |
|
|
Style Transfer (Q)
|
87% |
9359
12.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1656
61.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1498
55.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2137
79.2 IPS |
|
|
Text Classification (SP)
|
100% |
1246
1.66 KIPS |
|
|
Text Classification (HP)
|
100% |
613
817.8 IPS |
|
|
Text Classification (Q)
|
97% |
1049
1.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
1480
25.5 IPS |
|
|
Machine Translation (HP)
|
100% |
536
9.23 IPS |
|
|
Machine Translation (Q)
|
68% |
1796
34.7 IPS |
