HP HP t640 Thin Client
Geekbench AI Score
883
Single Precision Score
1098
Half Precision Score
653
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | xDJoelDx |
| Upload Date | December 06 2024 11:23 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Vega 3 Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP t640 Thin Client |
| Motherboard | HP 8523 |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | AMD Ryzen Embedded R1505G with Radeon Vega Gfx |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | AuthenticAMD Family 23 Model 24 Stepping 1 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
366
68.0 IPS |
|
|
Image Classification (HP)
|
100% |
390
72.5 IPS |
|
|
Image Classification (Q)
|
100% |
319
59.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
392
6.35 IPS |
|
|
Image Segmentation (HP)
|
100% |
427
6.92 IPS |
|
|
Image Segmentation (Q)
|
98% |
325
5.28 IPS |
|
|
Pose Estimation (SP)
|
100% |
2386
2.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
4262
4.97 IPS |
|
|
Pose Estimation (Q)
|
96% |
2095
2.45 IPS |
|
|
Object Detection (SP)
|
100% |
407
32.2 IPS |
|
|
Object Detection (HP)
|
100% |
418
33.2 IPS |
|
|
Object Detection (Q)
|
88% |
347
27.8 IPS |
|
|
Face Detection (SP)
|
100% |
1172
13.9 IPS |
|
|
Face Detection (HP)
|
100% |
1230
14.6 IPS |
|
|
Face Detection (Q)
|
97% |
791
9.43 IPS |
|
|
Depth Estimation (SP)
|
100% |
1847
14.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2454
18.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
1404
11.2 IPS |
|
|
Style Transfer (SP)
|
100% |
4209
5.41 IPS |
|
|
Style Transfer (HP)
|
100% |
7055
9.07 IPS |
|
|
Style Transfer (Q)
|
98% |
3667
4.73 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1109
40.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1726
63.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
800
29.6 IPS |
|
|
Text Classification (SP)
|
100% |
353
471.7 IPS |
|
|
Text Classification (HP)
|
100% |
375
501.1 IPS |
|
|
Text Classification (Q)
|
97% |
207
277.6 IPS |
|
|
Machine Translation (SP)
|
100% |
583
10.0 IPS |
|
|
Machine Translation (HP)
|
100% |
625
10.8 IPS |
|
|
Machine Translation (Q)
|
70% |
278
5.21 IPS |
