HP HP t740 Thin Client
Geekbench AI Score
600
Single Precision Score
224
Half Precision Score
696
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | janushk |
| Upload Date | December 02 2025 03:16 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen Embedded V1756B with Radeon Vega Gfx |
| System Information | |
|---|---|
| Operating System | Ubuntu 22.04.5 LTS |
| Model | HP HP t740 Thin Client |
| Motherboard | HP 8522 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen Embedded V1756B with Radeon Vega Gfx |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | AuthenticAMD Family 23 Model 17 Stepping 0 |
| Base Frequency | 3.25 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 6.25 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
376
69.9 IPS |
|
|
Image Classification (HP)
|
100% |
59
10.9 IPS |
|
|
Image Classification (Q)
|
94% |
496
92.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
235
3.81 IPS |
|
|
Image Segmentation (HP)
|
100% |
78
1.26 IPS |
|
|
Image Segmentation (Q)
|
98% |
479
7.79 IPS |
|
|
Pose Estimation (SP)
|
100% |
889
1.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
730
0.85 IPS |
|
|
Pose Estimation (Q)
|
86% |
945
1.12 IPS |
|
|
Object Detection (SP)
|
100% |
369
29.3 IPS |
|
|
Object Detection (HP)
|
100% |
77
6.08 IPS |
|
|
Object Detection (Q)
|
58% |
348
38.1 IPS |
|
|
Face Detection (SP)
|
100% |
715
8.50 IPS |
|
|
Face Detection (HP)
|
100% |
131
1.56 IPS |
|
|
Face Detection (Q)
|
96% |
1474
17.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1101
8.48 IPS |
|
|
Depth Estimation (HP)
|
99% |
325
2.50 IPS |
|
|
Depth Estimation (Q)
|
78% |
1143
9.12 IPS |
|
|
Style Transfer (SP)
|
100% |
2363
3.04 IPS |
|
|
Style Transfer (HP)
|
100% |
2036
2.62 IPS |
|
|
Style Transfer (Q)
|
87% |
2152
2.80 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
443
16.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
380
14.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
441
16.3 IPS |
|
|
Text Classification (SP)
|
100% |
463
617.6 IPS |
|
|
Text Classification (HP)
|
100% |
193
257.2 IPS |
|
|
Text Classification (Q)
|
97% |
382
512.2 IPS |
|
|
Machine Translation (SP)
|
100% |
554
9.54 IPS |
|
|
Machine Translation (HP)
|
100% |
199
3.42 IPS |
|
|
Machine Translation (Q)
|
68% |
567
10.9 IPS |
