HP HP Desktop M01-F1xxx
Geekbench AI Score
3409
Single Precision Score
3433
Half Precision Score
5126
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | TAY-REMEMBERED |
| Upload Date | April 20 2025 02:26 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-10400 CPU @ 2.90GHz |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2056
382.4 IPS |
|
|
Image Classification (HP)
|
100% |
2137
397.4 IPS |
|
|
Image Classification (Q)
|
100% |
3244
603.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2242
36.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2246
36.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3825
62.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4459
5.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
4452
5.19 IPS |
|
|
Pose Estimation (Q)
|
94% |
8747
10.3 IPS |
|
|
Object Detection (SP)
|
100% |
2110
167.4 IPS |
|
|
Object Detection (HP)
|
100% |
2118
168.0 IPS |
|
|
Object Detection (Q)
|
87% |
3473
278.6 IPS |
|
|
Face Detection (SP)
|
100% |
3623
43.0 IPS |
|
|
Face Detection (HP)
|
100% |
3693
43.9 IPS |
|
|
Face Detection (Q)
|
97% |
9015
107.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5508
42.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
5641
43.5 IPS |
|
|
Depth Estimation (Q)
|
81% |
9230
72.8 IPS |
|
|
Style Transfer (SP)
|
100% |
12853
16.5 IPS |
|
|
Style Transfer (HP)
|
100% |
12892
16.6 IPS |
|
|
Style Transfer (Q)
|
98% |
24961
32.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2604
96.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2587
95.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5142
190.4 IPS |
|
|
Text Classification (SP)
|
100% |
2231
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
2220
2.96 KIPS |
|
|
Text Classification (Q)
|
91% |
970
1.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3286
56.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3266
56.3 IPS |
|
|
Machine Translation (Q)
|
100% |
3210
55.3 IPS |
