HP HP EliteDesk 705 G5 Desktop Mini
Geekbench ML Score
824
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 13 2024 03:09 PM |
| Views | 1 |
System Information
| 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 |
| L1 Instruction Cache | 64.0 KB x 4 |
| L1 Data Cache | 32.0 KB x 4 |
| L2 Cache | 512 KB x 4 |
| L3 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
477
89.2 IPS |
|
|
Image Classification (F16)
|
100% |
482
90.2 IPS |
|
|
Image Classification (I8)
|
97% |
546
102.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
374
6.24 IPS |
|
|
Image Segmentation (F16)
|
100% |
366
6.12 IPS |
|
|
Image Segmentation (I8)
|
97% |
476
7.95 IPS |
|
|
Pose Estimation (F32)
|
100% |
1405
1.70 IPS |
|
|
Pose Estimation (F16)
|
100% |
1307
1.58 IPS |
|
|
Pose Estimation (I8)
|
100% |
1482
1.79 IPS |
|
|
Object Detection (F32)
|
100% |
438
32.7 IPS |
|
|
Object Detection (F16)
|
100% |
453
33.8 IPS |
|
|
Object Detection (I8)
|
60% |
481
35.9 IPS |
|
|
Face Detection (F32)
|
100% |
773
9.19 IPS |
|
|
Face Detection (F16)
|
100% |
776
9.23 IPS |
|
|
Face Detection (I8)
|
87% |
1153
13.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
1592
12.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
1577
12.2 IPS |
|
|
Depth Estimation (I8)
|
74% |
1822
14.1 IPS |
|
|
Style Transfer (F32)
|
100% |
3261
4.29 IPS |
|
|
Style Transfer (F16)
|
100% |
3295
4.33 IPS |
|
|
Style Transfer (I8)
|
85% |
3085
4.06 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
679
24.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
678
24.2 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
727
25.9 IPS |
|
|
Text Classification (F32)
|
100% |
596
856.2 IPS |
|
|
Text Classification (F16)
|
100% |
598
860.1 IPS |
|
|
Text Classification (I8)
|
94% |
247
354.8 IPS |
|
|
Machine Translation (F32)
|
100% |
748
13.8 IPS |
|
|
Machine Translation (F16)
|
100% |
755
13.9 IPS |
|
|
Machine Translation (I8)
|
67% |
815
15.0 IPS |
