HP HP Desktop M01-F1xxx
Geekbench AI Score
2151
Single Precision Score
2317
Half Precision Score
3491
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | TAY-REMEMBERED |
| Upload Date | June 28 2025 01:04 PM |
| Views | 4 |
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% |
980
182.3 IPS |
|
|
Image Classification (HP)
|
100% |
1163
216.2 IPS |
|
|
Image Classification (Q)
|
100% |
2065
384.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1420
23.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1909
31.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3281
53.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3572
4.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
3324
3.88 IPS |
|
|
Pose Estimation (Q)
|
94% |
5454
6.40 IPS |
|
|
Object Detection (SP)
|
100% |
1164
92.3 IPS |
|
|
Object Detection (HP)
|
100% |
1170
92.8 IPS |
|
|
Object Detection (Q)
|
87% |
1963
157.4 IPS |
|
|
Face Detection (SP)
|
100% |
2611
31.0 IPS |
|
|
Face Detection (HP)
|
100% |
3185
37.8 IPS |
|
|
Face Detection (Q)
|
97% |
7649
91.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3286
25.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3252
25.1 IPS |
|
|
Depth Estimation (Q)
|
81% |
4985
39.3 IPS |
|
|
Style Transfer (SP)
|
100% |
8016
10.3 IPS |
|
|
Style Transfer (HP)
|
100% |
8179
10.5 IPS |
|
|
Style Transfer (Q)
|
98% |
20278
26.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1541
56.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1551
57.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2784
103.1 IPS |
|
|
Text Classification (SP)
|
100% |
1303
1.74 KIPS |
|
|
Text Classification (HP)
|
100% |
1439
1.92 KIPS |
|
|
Text Classification (Q)
|
91% |
636
855.5 IPS |
|
|
Machine Translation (SP)
|
100% |
2660
45.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2740
47.2 IPS |
|
|
Machine Translation (Q)
|
100% |
2710
46.7 IPS |
