HP HP EliteDesk 8 Mini G1a Desktop PC
Geekbench AI Score
3106
Single Precision Score
3154
Half Precision Score
8380
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | October 07 2025 10:16 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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% |
2215
411.9 IPS |
|
|
Image Classification (HP)
|
100% |
1991
370.3 IPS |
|
|
Image Classification (Q)
|
100% |
6178
1.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2299
37.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2291
37.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
6490
105.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4348
5.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
4339
5.06 IPS |
|
|
Pose Estimation (Q)
|
98% |
12188
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
2003
158.9 IPS |
|
|
Object Detection (HP)
|
100% |
2038
161.6 IPS |
|
|
Object Detection (Q)
|
88% |
4948
396.7 IPS |
|
|
Face Detection (SP)
|
100% |
3700
44.0 IPS |
|
|
Face Detection (HP)
|
100% |
3369
40.0 IPS |
|
|
Face Detection (Q)
|
100% |
13075
155.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3617
27.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3667
28.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
10134
78.9 IPS |
|
|
Style Transfer (SP)
|
100% |
11857
15.2 IPS |
|
|
Style Transfer (HP)
|
100% |
11343
14.6 IPS |
|
|
Style Transfer (Q)
|
98% |
44593
57.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1530
56.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2417
89.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7229
267.7 IPS |
|
|
Text Classification (SP)
|
100% |
2253
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
2054
2.74 KIPS |
|
|
Text Classification (Q)
|
92% |
4202
5.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
3454
59.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3476
59.9 IPS |
|
|
Machine Translation (Q)
|
100% |
3936
67.8 IPS |
