HP HP Slim Desktop S01-pF1xxx
Geekbench AI Score
2718
Single Precision Score
2949
Half Precision Score
1984
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | 07VFDInLCD |
| Upload Date | June 21 2025 06:17 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Radeon RX550/550 Series |
| 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% |
1188
220.9 IPS |
|
|
Image Classification (HP)
|
100% |
1399
260.2 IPS |
|
|
Image Classification (Q)
|
100% |
997
185.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1061
17.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1109
18.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
879
14.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11780
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
12157
14.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
9728
11.4 IPS |
|
|
Object Detection (SP)
|
100% |
1317
104.4 IPS |
|
|
Object Detection (HP)
|
100% |
1473
116.8 IPS |
|
|
Object Detection (Q)
|
88% |
1091
87.5 IPS |
|
|
Face Detection (SP)
|
100% |
3184
37.8 IPS |
|
|
Face Detection (HP)
|
100% |
3828
45.5 IPS |
|
|
Face Detection (Q)
|
97% |
2348
28.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6579
50.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
7372
56.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
4917
39.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17763
22.8 IPS |
|
|
Style Transfer (HP)
|
100% |
19390
24.9 IPS |
|
|
Style Transfer (Q)
|
98% |
14688
18.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3960
146.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4337
160.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2668
98.8 IPS |
|
|
Text Classification (SP)
|
100% |
651
868.5 IPS |
|
|
Text Classification (HP)
|
100% |
666
888.5 IPS |
|
|
Text Classification (Q)
|
97% |
408
547.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1176
20.3 IPS |
|
|
Machine Translation (HP)
|
96% |
1134
19.6 IPS |
|
|
Machine Translation (Q)
|
70% |
552
10.3 IPS |
