HP HP Desktop M01-F1xxx
Geekbench AI Score
2565
Single Precision Score
2427
Half Precision Score
3466
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | TAY-REMEMBERED |
| Upload Date | August 24 2025 09:32 AM |
| 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% |
1448
269.3 IPS |
|
|
Image Classification (HP)
|
100% |
1316
244.7 IPS |
|
|
Image Classification (Q)
|
100% |
2159
401.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1459
23.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1485
24.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2602
42.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3060
3.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
3311
3.86 IPS |
|
|
Pose Estimation (Q)
|
94% |
6227
7.30 IPS |
|
|
Object Detection (SP)
|
100% |
1571
124.6 IPS |
|
|
Object Detection (HP)
|
100% |
1951
154.8 IPS |
|
|
Object Detection (Q)
|
87% |
2297
184.2 IPS |
|
|
Face Detection (SP)
|
100% |
2790
33.2 IPS |
|
|
Face Detection (HP)
|
100% |
2926
34.8 IPS |
|
|
Face Detection (Q)
|
97% |
6564
78.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3872
29.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3964
30.5 IPS |
|
|
Depth Estimation (Q)
|
81% |
6188
48.8 IPS |
|
|
Style Transfer (SP)
|
100% |
12739
16.4 IPS |
|
|
Style Transfer (HP)
|
100% |
7936
10.2 IPS |
|
|
Style Transfer (Q)
|
98% |
15203
19.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1677
61.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1649
60.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3372
124.9 IPS |
|
|
Text Classification (SP)
|
100% |
1714
2.29 KIPS |
|
|
Text Classification (HP)
|
100% |
1714
2.29 KIPS |
|
|
Text Classification (Q)
|
91% |
688
924.1 IPS |
|
|
Machine Translation (SP)
|
100% |
3078
53.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2166
37.3 IPS |
|
|
Machine Translation (Q)
|
100% |
2179
37.5 IPS |
