HP HP t640 Thin Client
Geekbench AI Score
447
Single Precision Score
288
Half Precision Score
416
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | xDJoelDx |
| Upload Date | December 06 2024 11:13 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen Embedded R1505G with Radeon Vega Gfx |
| 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% |
311
57.8 IPS |
|
|
Image Classification (HP)
|
100% |
136
25.2 IPS |
|
|
Image Classification (Q)
|
96% |
283
52.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
216
3.50 IPS |
|
|
Image Segmentation (HP)
|
100% |
182
2.96 IPS |
|
|
Image Segmentation (Q)
|
97% |
256
4.17 IPS |
|
|
Pose Estimation (SP)
|
100% |
477
0.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
419
0.49 IPS |
|
|
Pose Estimation (Q)
|
86% |
522
0.62 IPS |
|
|
Object Detection (SP)
|
100% |
270
21.4 IPS |
|
|
Object Detection (HP)
|
100% |
149
11.8 IPS |
|
|
Object Detection (Q)
|
58% |
199
21.7 IPS |
|
|
Face Detection (SP)
|
100% |
737
8.76 IPS |
|
|
Face Detection (HP)
|
100% |
330
3.92 IPS |
|
|
Face Detection (Q)
|
96% |
770
9.18 IPS |
|
|
Depth Estimation (SP)
|
100% |
719
5.54 IPS |
|
|
Depth Estimation (HP)
|
99% |
430
3.31 IPS |
|
|
Depth Estimation (Q)
|
78% |
762
6.08 IPS |
|
|
Style Transfer (SP)
|
100% |
1453
1.87 IPS |
|
|
Style Transfer (HP)
|
100% |
1212
1.56 IPS |
|
|
Style Transfer (Q)
|
87% |
1446
1.88 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
299
11.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
274
10.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
327
12.1 IPS |
|
|
Text Classification (SP)
|
100% |
345
460.8 IPS |
|
|
Text Classification (HP)
|
100% |
232
309.5 IPS |
|
|
Text Classification (Q)
|
97% |
172
230.1 IPS |
|
|
Machine Translation (SP)
|
100% |
468
8.07 IPS |
|
|
Machine Translation (HP)
|
100% |
235
4.05 IPS |
|
|
Machine Translation (Q)
|
68% |
437
8.45 IPS |
