HP HP Desktop M01-F1xxx
Geekbench AI Score
2173
Single Precision Score
2430
Half Precision Score
3593
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | TAY-REMEMBERED |
| Upload Date | May 10 2025 08:49 AM |
| Views | 6 |
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% |
1054
195.9 IPS |
|
|
Image Classification (HP)
|
100% |
1115
207.4 IPS |
|
|
Image Classification (Q)
|
100% |
1906
354.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1321
21.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1658
26.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3308
53.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3488
4.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
2862
3.34 IPS |
|
|
Pose Estimation (Q)
|
94% |
6677
7.83 IPS |
|
|
Object Detection (SP)
|
100% |
1241
98.4 IPS |
|
|
Object Detection (HP)
|
100% |
1227
97.3 IPS |
|
|
Object Detection (Q)
|
87% |
2012
161.4 IPS |
|
|
Face Detection (SP)
|
100% |
2622
31.2 IPS |
|
|
Face Detection (HP)
|
100% |
3275
38.9 IPS |
|
|
Face Detection (Q)
|
97% |
7789
92.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4593
35.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
4591
35.4 IPS |
|
|
Depth Estimation (Q)
|
81% |
5103
40.2 IPS |
|
|
Style Transfer (SP)
|
100% |
8115
10.4 IPS |
|
|
Style Transfer (HP)
|
100% |
8348
10.7 IPS |
|
|
Style Transfer (Q)
|
98% |
16595
21.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1547
57.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2009
74.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4175
154.6 IPS |
|
|
Text Classification (SP)
|
100% |
1356
1.81 KIPS |
|
|
Text Classification (HP)
|
100% |
1633
2.18 KIPS |
|
|
Text Classification (Q)
|
91% |
729
980.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1901
32.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2693
46.4 IPS |
|
|
Machine Translation (Q)
|
100% |
2109
36.3 IPS |
