HP HP Desktop M01-F1xxx
Geekbench AI Score
3331
Single Precision Score
3270
Half Precision Score
4468
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | TAY-REMEMBERED |
| Upload Date | April 11 2025 11:20 AM |
| Views | 5 |
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% |
2082
387.1 IPS |
|
|
Image Classification (HP)
|
100% |
1918
356.8 IPS |
|
|
Image Classification (Q)
|
100% |
3184
592.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2136
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1963
31.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3666
59.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4407
5.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
4405
5.14 IPS |
|
|
Pose Estimation (Q)
|
94% |
5750
6.74 IPS |
|
|
Object Detection (SP)
|
100% |
2074
164.5 IPS |
|
|
Object Detection (HP)
|
100% |
2096
166.3 IPS |
|
|
Object Detection (Q)
|
87% |
3360
269.4 IPS |
|
|
Face Detection (SP)
|
100% |
3510
41.7 IPS |
|
|
Face Detection (HP)
|
100% |
3651
43.4 IPS |
|
|
Face Detection (Q)
|
97% |
6091
72.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5406
41.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
5111
39.4 IPS |
|
|
Depth Estimation (Q)
|
81% |
5957
47.0 IPS |
|
|
Style Transfer (SP)
|
100% |
12419
16.0 IPS |
|
|
Style Transfer (HP)
|
100% |
12467
16.0 IPS |
|
|
Style Transfer (Q)
|
98% |
24622
31.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2579
95.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2571
94.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5094
188.7 IPS |
|
|
Text Classification (SP)
|
100% |
2179
2.91 KIPS |
|
|
Text Classification (HP)
|
100% |
2178
2.91 KIPS |
|
|
Text Classification (Q)
|
91% |
971
1.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
3132
53.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3095
53.3 IPS |
|
|
Machine Translation (Q)
|
100% |
3185
54.9 IPS |
