HP HP EliteDesk 705 G5 Desktop Mini
Geekbench AI Score
1632
Single Precision Score
2346
Half Precision Score
1326
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 22 2025 04:42 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Radeon RX 560 Series |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP EliteDesk 705 G5 Desktop Mini |
| Motherboard | HP 8619 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 PRO 3400GE |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | AuthenticAMD Family 23 Model 24 Stepping 1 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
333
61.9 IPS |
|
|
Image Classification (HP)
|
100% |
1425
264.9 IPS |
|
|
Image Classification (Q)
|
100% |
313
58.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1292
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1469
23.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1113
18.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9006
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
10073
11.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
8313
9.74 IPS |
|
|
Object Detection (SP)
|
100% |
742
58.8 IPS |
|
|
Object Detection (HP)
|
100% |
1286
102.0 IPS |
|
|
Object Detection (Q)
|
86% |
630
50.6 IPS |
|
|
Face Detection (SP)
|
100% |
2992
35.6 IPS |
|
|
Face Detection (HP)
|
100% |
3798
45.1 IPS |
|
|
Face Detection (Q)
|
97% |
2453
29.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1849
14.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3298
25.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
1680
13.4 IPS |
|
|
Style Transfer (SP)
|
100% |
15327
19.7 IPS |
|
|
Style Transfer (HP)
|
100% |
18157
23.3 IPS |
|
|
Style Transfer (Q)
|
98% |
13568
17.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
847
31.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1010
37.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
809
29.9 IPS |
|
|
Text Classification (SP)
|
100% |
681
908.8 IPS |
|
|
Text Classification (HP)
|
100% |
706
942.4 IPS |
|
|
Text Classification (Q)
|
97% |
396
531.1 IPS |
|
|
Machine Translation (SP)
|
100% |
958
16.5 IPS |
|
|
Machine Translation (HP)
|
96% |
1152
19.9 IPS |
|
|
Machine Translation (Q)
|
70% |
516
9.67 IPS |
