HP HP Desktop M01-F1xxx
Geekbench AI Score
2803
Single Precision Score
2737
Half Precision Score
4089
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | TAY-REMEMBERED |
| Upload Date | April 23 2025 03:49 PM |
| Views | 8 |
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% |
1189
221.1 IPS |
|
|
Image Classification (HP)
|
100% |
1204
224.0 IPS |
|
|
Image Classification (Q)
|
100% |
1840
342.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1890
30.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1489
24.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2462
40.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3728
4.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
3692
4.31 IPS |
|
|
Pose Estimation (Q)
|
94% |
7292
8.55 IPS |
|
|
Object Detection (SP)
|
100% |
1773
140.6 IPS |
|
|
Object Detection (HP)
|
100% |
1821
144.4 IPS |
|
|
Object Detection (Q)
|
87% |
2919
234.1 IPS |
|
|
Face Detection (SP)
|
100% |
3290
39.1 IPS |
|
|
Face Detection (HP)
|
100% |
3275
38.9 IPS |
|
|
Face Detection (Q)
|
97% |
7826
93.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4711
36.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4628
35.7 IPS |
|
|
Depth Estimation (Q)
|
81% |
7906
62.3 IPS |
|
|
Style Transfer (SP)
|
100% |
10820
13.9 IPS |
|
|
Style Transfer (HP)
|
100% |
10788
13.9 IPS |
|
|
Style Transfer (Q)
|
98% |
20461
26.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2223
82.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2195
81.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4397
162.9 IPS |
|
|
Text Classification (SP)
|
100% |
1997
2.67 KIPS |
|
|
Text Classification (HP)
|
100% |
1967
2.63 KIPS |
|
|
Text Classification (Q)
|
91% |
889
1.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
2713
46.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2776
47.8 IPS |
|
|
Machine Translation (Q)
|
100% |
2739
47.2 IPS |
