HP HP Desktop M01-F1xxx
Geekbench AI Score
2193
Single Precision Score
2184
Half Precision Score
3256
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | TAY-REMEMBERED |
| Upload Date | August 21 2025 07:31 PM |
| Views | 5 |
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% |
1269
236.1 IPS |
|
|
Image Classification (HP)
|
100% |
1253
233.1 IPS |
|
|
Image Classification (Q)
|
100% |
1876
348.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1363
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1632
26.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2693
43.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2803
3.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
2873
3.35 IPS |
|
|
Pose Estimation (Q)
|
94% |
5390
6.32 IPS |
|
|
Object Detection (SP)
|
100% |
1269
100.7 IPS |
|
|
Object Detection (HP)
|
100% |
1152
91.4 IPS |
|
|
Object Detection (Q)
|
87% |
2005
160.8 IPS |
|
|
Face Detection (SP)
|
100% |
2435
28.9 IPS |
|
|
Face Detection (HP)
|
100% |
2524
30.0 IPS |
|
|
Face Detection (Q)
|
97% |
6296
75.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3655
28.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3538
27.3 IPS |
|
|
Depth Estimation (Q)
|
81% |
5492
43.3 IPS |
|
|
Style Transfer (SP)
|
100% |
7575
9.74 IPS |
|
|
Style Transfer (HP)
|
100% |
7819
10.1 IPS |
|
|
Style Transfer (Q)
|
98% |
13733
17.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1812
66.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1445
53.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2771
102.6 IPS |
|
|
Text Classification (SP)
|
100% |
1498
2.00 KIPS |
|
|
Text Classification (HP)
|
100% |
1554
2.07 KIPS |
|
|
Text Classification (Q)
|
91% |
795
1.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
2295
39.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2335
40.2 IPS |
|
|
Machine Translation (Q)
|
100% |
2349
40.5 IPS |
