HP HP EliteDesk 8 Mini G1a Desktop PC
Geekbench AI Score
2111
Single Precision Score
1120
Half Precision Score
3710
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | October 07 2025 10:10 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 220 w/ Radeon 740M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | HP HP EliteDesk 8 Mini G1a Desktop PC |
| Motherboard | HP 8DAB |
| Power Plan | HP Optimized (Modern Standby) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 220 w/ Radeon 740M Graphics |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 124 Stepping 0 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1961
364.7 IPS |
|
|
Image Classification (HP)
|
100% |
532
98.9 IPS |
|
|
Image Classification (Q)
|
99% |
5109
953.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1295
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
479
7.77 IPS |
|
|
Image Segmentation (Q)
|
98% |
1934
31.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2828
3.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
2801
3.27 IPS |
|
|
Pose Estimation (Q)
|
94% |
13936
16.3 IPS |
|
|
Object Detection (SP)
|
100% |
1201
95.3 IPS |
|
|
Object Detection (HP)
|
100% |
505
40.0 IPS |
|
|
Object Detection (Q)
|
86% |
3789
304.5 IPS |
|
|
Face Detection (SP)
|
100% |
2727
32.4 IPS |
|
|
Face Detection (HP)
|
100% |
1022
12.1 IPS |
|
|
Face Detection (Q)
|
97% |
5404
64.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3043
23.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1646
12.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
4838
38.6 IPS |
|
|
Style Transfer (SP)
|
100% |
9109
11.7 IPS |
|
|
Style Transfer (HP)
|
100% |
7146
9.19 IPS |
|
|
Style Transfer (Q)
|
98% |
16745
21.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1328
49.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1427
52.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3149
116.6 IPS |
|
|
Text Classification (SP)
|
100% |
1458
1.95 KIPS |
|
|
Text Classification (HP)
|
100% |
718
957.7 IPS |
|
|
Text Classification (Q)
|
97% |
310
415.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1393
24.0 IPS |
|
|
Machine Translation (HP)
|
100% |
700
12.1 IPS |
|
|
Machine Translation (Q)
|
65% |
2219
44.6 IPS |
