HP HP Desktop M01-F1xxx
Geekbench AI Score
2157
Single Precision Score
2169
Half Precision Score
3151
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | TAY-REMEMBERED |
| Upload Date | June 28 2025 01:09 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% |
1319
245.2 IPS |
|
|
Image Classification (HP)
|
100% |
1318
245.1 IPS |
|
|
Image Classification (Q)
|
100% |
2018
375.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1550
25.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1494
24.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2516
40.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2900
3.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
3213
3.75 IPS |
|
|
Pose Estimation (Q)
|
94% |
5965
7.00 IPS |
|
|
Object Detection (SP)
|
100% |
1179
93.5 IPS |
|
|
Object Detection (HP)
|
100% |
1294
102.7 IPS |
|
|
Object Detection (Q)
|
87% |
2299
184.4 IPS |
|
|
Face Detection (SP)
|
100% |
2712
32.2 IPS |
|
|
Face Detection (HP)
|
100% |
2656
31.6 IPS |
|
|
Face Detection (Q)
|
97% |
5605
66.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3201
24.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3309
25.5 IPS |
|
|
Depth Estimation (Q)
|
81% |
5438
42.9 IPS |
|
|
Style Transfer (SP)
|
100% |
8494
10.9 IPS |
|
|
Style Transfer (HP)
|
100% |
8420
10.8 IPS |
|
|
Style Transfer (Q)
|
98% |
13868
17.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1422
52.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1397
51.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2639
97.7 IPS |
|
|
Text Classification (SP)
|
100% |
1389
1.85 KIPS |
|
|
Text Classification (HP)
|
100% |
1376
1.84 KIPS |
|
|
Text Classification (Q)
|
91% |
695
933.7 IPS |
|
|
Machine Translation (SP)
|
100% |
2149
37.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1979
34.1 IPS |
|
|
Machine Translation (Q)
|
100% |
1792
30.9 IPS |
