HP HP Desktop M01-F1xxx
Geekbench AI Score
1806
Single Precision Score
1746
Half Precision Score
1319
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | TAY-REMEMBERED |
| Upload Date | December 25 2025 05:59 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA Quadro K1200 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP HP Desktop M01-F1xxx |
| Motherboard | HP 8768 |
| Power Plan | Balanced |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
706
131.2 IPS |
|
|
Image Classification (HP)
|
100% |
682
126.9 IPS |
|
|
Image Classification (Q)
|
99% |
595
111.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
926
15.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
902
14.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
750
12.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5549
6.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
5136
5.99 IPS |
|
|
Pose Estimation (Q)
|
96% |
4866
5.70 IPS |
|
|
Object Detection (SP)
|
100% |
851
67.5 IPS |
|
|
Object Detection (HP)
|
100% |
840
66.6 IPS |
|
|
Object Detection (Q)
|
83% |
710
57.4 IPS |
|
|
Face Detection (SP)
|
100% |
1458
17.3 IPS |
|
|
Face Detection (HP)
|
100% |
1435
17.0 IPS |
|
|
Face Detection (Q)
|
97% |
1187
14.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3056
23.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2932
22.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
2434
19.5 IPS |
|
|
Style Transfer (SP)
|
100% |
8848
11.4 IPS |
|
|
Style Transfer (HP)
|
100% |
8729
11.2 IPS |
|
|
Style Transfer (Q)
|
98% |
7638
9.85 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2651
97.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2461
90.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1849
68.5 IPS |
|
|
Text Classification (SP)
|
100% |
812
1.08 KIPS |
|
|
Text Classification (HP)
|
100% |
823
1.10 KIPS |
|
|
Text Classification (Q)
|
97% |
437
585.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1416
24.4 IPS |
|
|
Machine Translation (HP)
|
96% |
1340
23.2 IPS |
|
|
Machine Translation (Q)
|
70% |
580
10.9 IPS |
