[2016] Mini PC: HP EliteDesk 705 G3 DM HP HP EliteDesk 705 G3 Desktop Mini
Geekbench AI Score
229
Single Precision Score
183
Half Precision Score
282
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | inc7007 |
| Upload Date | April 20 2025 08:36 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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% |
148
27.5 IPS |
|
|
Image Classification (HP)
|
100% |
90
16.8 IPS |
|
|
Image Classification (Q)
|
96% |
195
36.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
63
1.02 IPS |
|
|
Image Segmentation (HP)
|
100% |
110
1.78 IPS |
|
|
Image Segmentation (Q)
|
97% |
161
2.61 IPS |
|
|
Pose Estimation (SP)
|
100% |
337
0.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
290
0.34 IPS |
|
|
Pose Estimation (Q)
|
86% |
368
0.43 IPS |
|
|
Object Detection (SP)
|
100% |
124
9.83 IPS |
|
|
Object Detection (HP)
|
100% |
101
7.99 IPS |
|
|
Object Detection (Q)
|
58% |
136
14.9 IPS |
|
|
Face Detection (SP)
|
100% |
292
3.47 IPS |
|
|
Face Detection (HP)
|
100% |
242
2.88 IPS |
|
|
Face Detection (Q)
|
96% |
496
5.91 IPS |
|
|
Depth Estimation (SP)
|
100% |
419
3.23 IPS |
|
|
Depth Estimation (HP)
|
99% |
275
2.12 IPS |
|
|
Depth Estimation (Q)
|
78% |
445
3.55 IPS |
|
|
Style Transfer (SP)
|
100% |
921
1.18 IPS |
|
|
Style Transfer (HP)
|
100% |
825
1.06 IPS |
|
|
Style Transfer (Q)
|
87% |
898
1.17 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
182
6.72 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
161
5.93 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
193
7.16 IPS |
|
|
Text Classification (SP)
|
100% |
192
255.9 IPS |
|
|
Text Classification (HP)
|
100% |
132
176.7 IPS |
|
|
Text Classification (Q)
|
97% |
199
267.2 IPS |
|
|
Machine Translation (SP)
|
100% |
270
4.65 IPS |
|
|
Machine Translation (HP)
|
100% |
129
2.22 IPS |
|
|
Machine Translation (Q)
|
68% |
274
5.30 IPS |
