HP HP EliteDesk 705 G4 DM 65W (TAA)
Geekbench AI Score
895
Single Precision Score
337
Half Precision Score
1050
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | guinea7pig |
| Upload Date | May 24 2025 11:25 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 PRO 2400G with Radeon Vega Graphics |
| System Information | |
|---|---|
| Operating System | Debian GNU/Linux trixie/sid |
| Model | HP HP EliteDesk 705 G4 DM 65W (TAA) |
| Motherboard | HP 83E9 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 PRO 2400G with Radeon Vega Graphics |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | AuthenticAMD Family 23 Model 17 Stepping 0 |
| Base Frequency | 3.59 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 22.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
620
115.2 IPS |
|
|
Image Classification (HP)
|
100% |
93
17.3 IPS |
|
|
Image Classification (Q)
|
94% |
769
143.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
307
4.97 IPS |
|
|
Image Segmentation (HP)
|
100% |
113
1.84 IPS |
|
|
Image Segmentation (Q)
|
98% |
687
11.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1391
1.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
1042
1.22 IPS |
|
|
Pose Estimation (Q)
|
86% |
1461
1.73 IPS |
|
|
Object Detection (SP)
|
100% |
582
46.2 IPS |
|
|
Object Detection (HP)
|
100% |
116
9.21 IPS |
|
|
Object Detection (Q)
|
58% |
537
58.6 IPS |
|
|
Face Detection (SP)
|
100% |
922
11.0 IPS |
|
|
Face Detection (HP)
|
100% |
182
2.16 IPS |
|
|
Face Detection (Q)
|
96% |
2056
24.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1713
13.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
473
3.64 IPS |
|
|
Depth Estimation (Q)
|
78% |
1757
14.0 IPS |
|
|
Style Transfer (SP)
|
100% |
3527
4.53 IPS |
|
|
Style Transfer (HP)
|
100% |
3134
4.03 IPS |
|
|
Style Transfer (Q)
|
87% |
3374
4.39 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
684
25.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
591
21.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
678
25.1 IPS |
|
|
Text Classification (SP)
|
100% |
668
891.0 IPS |
|
|
Text Classification (HP)
|
100% |
305
407.7 IPS |
|
|
Text Classification (Q)
|
97% |
535
717.4 IPS |
|
|
Machine Translation (SP)
|
100% |
844
14.5 IPS |
|
|
Machine Translation (HP)
|
100% |
308
5.31 IPS |
|
|
Machine Translation (Q)
|
68% |
894
17.3 IPS |
