HP HP Slim Desktop S01-pF1xxx
Geekbench AI Score
911
Single Precision Score
1030
Half Precision Score
711
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | 07VFDInLCD |
| Upload Date | June 15 2025 12:16 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 630 |
| 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% |
379
70.6 IPS |
|
|
Image Classification (HP)
|
100% |
433
80.5 IPS |
|
|
Image Classification (Q)
|
100% |
385
71.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
544
8.82 IPS |
|
|
Image Segmentation (HP)
|
100% |
496
8.04 IPS |
|
|
Image Segmentation (Q)
|
98% |
445
7.24 IPS |
|
|
Pose Estimation (SP)
|
100% |
2153
2.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
3474
4.05 IPS |
|
|
Pose Estimation (Q)
|
97% |
1921
2.25 IPS |
|
|
Object Detection (SP)
|
100% |
458
36.3 IPS |
|
|
Object Detection (HP)
|
98% |
467
37.2 IPS |
|
|
Object Detection (Q)
|
86% |
402
32.3 IPS |
|
|
Face Detection (SP)
|
100% |
870
10.3 IPS |
|
|
Face Detection (HP)
|
100% |
999
11.9 IPS |
|
|
Face Detection (Q)
|
97% |
697
8.31 IPS |
|
|
Depth Estimation (SP)
|
100% |
1629
12.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
1999
15.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
1350
10.8 IPS |
|
|
Style Transfer (SP)
|
100% |
5538
7.12 IPS |
|
|
Style Transfer (HP)
|
100% |
8303
10.7 IPS |
|
|
Style Transfer (Q)
|
98% |
4618
5.96 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1104
40.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1557
57.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
819
30.3 IPS |
|
|
Text Classification (SP)
|
100% |
476
634.7 IPS |
|
|
Text Classification (HP)
|
100% |
309
412.8 IPS |
|
|
Text Classification (Q)
|
97% |
270
361.9 IPS |
|
|
Machine Translation (SP)
|
100% |
470
8.09 IPS |
|
|
Machine Translation (HP)
|
100% |
485
8.35 IPS |
|
|
Machine Translation (Q)
|
70% |
263
4.93 IPS |
