HP HP Slim Desktop S01-pF1xxx
Geekbench AI Score
1913
Single Precision Score
951
Half Precision Score
2873
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | 07VFDInLCD |
| Upload Date | June 15 2025 11:55 AM |
| Views | 5 |
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% |
1477
274.6 IPS |
|
|
Image Classification (HP)
|
100% |
362
67.3 IPS |
|
|
Image Classification (Q)
|
96% |
2669
498.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
823
13.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
508
8.23 IPS |
|
|
Image Segmentation (Q)
|
97% |
1688
27.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2986
3.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
2694
3.14 IPS |
|
|
Pose Estimation (Q)
|
86% |
6522
7.71 IPS |
|
|
Object Detection (SP)
|
100% |
1423
112.8 IPS |
|
|
Object Detection (HP)
|
100% |
442
35.1 IPS |
|
|
Object Detection (Q)
|
58% |
1892
206.7 IPS |
|
|
Face Detection (SP)
|
100% |
2100
25.0 IPS |
|
|
Face Detection (HP)
|
100% |
865
10.3 IPS |
|
|
Face Detection (Q)
|
96% |
4387
52.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3746
28.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1399
10.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
5809
46.4 IPS |
|
|
Style Transfer (SP)
|
100% |
7939
10.2 IPS |
|
|
Style Transfer (HP)
|
100% |
6297
8.10 IPS |
|
|
Style Transfer (Q)
|
87% |
8458
11.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1422
52.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1305
48.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1994
73.9 IPS |
|
|
Text Classification (SP)
|
100% |
1161
1.55 KIPS |
|
|
Text Classification (HP)
|
100% |
574
765.7 IPS |
|
|
Text Classification (Q)
|
97% |
985
1.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
1233
21.2 IPS |
|
|
Machine Translation (HP)
|
100% |
486
8.37 IPS |
|
|
Machine Translation (Q)
|
68% |
1628
31.5 IPS |
