HP HP Desktop M01-F1xxx
Geekbench AI Score
6586
Single Precision Score
11953
Half Precision Score
13197
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | TAY-REMEMBERED |
| Upload Date | January 07 2026 04:06 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) A380 Graphics (dGPU) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3559
661.9 IPS |
|
|
Image Classification (HP)
|
100% |
5421
1.01 KIPS |
|
|
Image Classification (Q)
|
100% |
5596
1.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5677
92.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
8873
143.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
10174
164.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
20857
24.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
82189
95.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
137141
160.6 IPS |
|
|
Object Detection (SP)
|
100% |
3177
252.0 IPS |
|
|
Object Detection (HP)
|
100% |
6582
522.1 IPS |
|
|
Object Detection (Q)
|
88% |
6910
553.7 IPS |
|
|
Face Detection (SP)
|
100% |
10471
124.4 IPS |
|
|
Face Detection (HP)
|
100% |
16625
197.5 IPS |
|
|
Face Detection (Q)
|
100% |
17776
211.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
15878
122.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
31716
244.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
33666
261.7 IPS |
|
|
Style Transfer (SP)
|
100% |
56181
72.2 IPS |
|
|
Style Transfer (HP)
|
100% |
131823
169.5 IPS |
|
|
Style Transfer (Q)
|
98% |
192595
248.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7796
287.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16215
598.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18657
690.9 IPS |
|
|
Text Classification (SP)
|
100% |
1189
1.59 KIPS |
|
|
Text Classification (HP)
|
100% |
1197
1.60 KIPS |
|
|
Text Classification (Q)
|
92% |
802
1.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
1325
22.8 IPS |
|
|
Machine Translation (HP)
|
98% |
1697
29.3 IPS |
|
|
Machine Translation (Q)
|
100% |
1723
29.7 IPS |
