[2016] Mini PC: HP EliteDesk 705 G3 DM HP HP EliteDesk 705 G3 Desktop Mini
Geekbench AI Score
282
Single Precision Score
283
Half Precision Score
312
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | inc7007 |
| Upload Date | April 20 2025 08:18 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD PRO A6-9500E R5, 6 COMPUTE CORES 2C+4G |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP EliteDesk 705 G3 Desktop Mini |
| Motherboard | HP 8266 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD PRO A6-9500E R5, 6 COMPUTE CORES 2C+4G |
| Topology | 1 Processor, 2 Cores |
| Identifier | AuthenticAMD Family 21 Model 101 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
151
28.2 IPS |
|
|
Image Classification (HP)
|
100% |
157
29.2 IPS |
|
|
Image Classification (Q)
|
100% |
196
36.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
123
2.00 IPS |
|
|
Image Segmentation (HP)
|
100% |
123
1.99 IPS |
|
|
Image Segmentation (Q)
|
99% |
137
2.22 IPS |
|
|
Pose Estimation (SP)
|
100% |
320
0.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
320
0.37 IPS |
|
|
Pose Estimation (Q)
|
94% |
370
0.43 IPS |
|
|
Object Detection (SP)
|
100% |
150
11.9 IPS |
|
|
Object Detection (HP)
|
100% |
151
12.0 IPS |
|
|
Object Detection (Q)
|
87% |
192
15.4 IPS |
|
|
Face Detection (SP)
|
100% |
442
5.25 IPS |
|
|
Face Detection (HP)
|
100% |
437
5.19 IPS |
|
|
Face Detection (Q)
|
97% |
506
6.03 IPS |
|
|
Depth Estimation (SP)
|
100% |
455
3.51 IPS |
|
|
Depth Estimation (HP)
|
99% |
455
3.50 IPS |
|
|
Depth Estimation (Q)
|
81% |
488
3.85 IPS |
|
|
Style Transfer (SP)
|
100% |
973
1.25 IPS |
|
|
Style Transfer (HP)
|
100% |
956
1.23 IPS |
|
|
Style Transfer (Q)
|
98% |
1081
1.39 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
211
7.78 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
211
7.81 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
234
8.65 IPS |
|
|
Text Classification (SP)
|
100% |
237
316.0 IPS |
|
|
Text Classification (HP)
|
100% |
241
322.1 IPS |
|
|
Text Classification (Q)
|
91% |
200
268.7 IPS |
|
|
Machine Translation (SP)
|
100% |
372
6.42 IPS |
|
|
Machine Translation (HP)
|
100% |
373
6.43 IPS |
|
|
Machine Translation (Q)
|
100% |
367
6.32 IPS |
