HP HP t740 Thin Client
Geekbench AI Score
468
Single Precision Score
469
Half Precision Score
348
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | janushk |
| Upload Date | December 02 2025 03:00 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| 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% |
242
44.9 IPS |
|
|
Image Classification (HP)
|
100% |
243
45.3 IPS |
|
|
Image Classification (Q)
|
99% |
182
34.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
408
6.61 IPS |
|
|
Image Segmentation (HP)
|
100% |
408
6.61 IPS |
|
|
Image Segmentation (Q)
|
98% |
272
4.43 IPS |
|
|
Pose Estimation (SP)
|
100% |
558
0.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
558
0.65 IPS |
|
|
Pose Estimation (Q)
|
96% |
552
0.65 IPS |
|
|
Object Detection (SP)
|
100% |
306
24.3 IPS |
|
|
Object Detection (HP)
|
100% |
307
24.4 IPS |
|
|
Object Detection (Q)
|
85% |
249
20.1 IPS |
|
|
Face Detection (SP)
|
100% |
652
7.75 IPS |
|
|
Face Detection (HP)
|
100% |
652
7.75 IPS |
|
|
Face Detection (Q)
|
97% |
609
7.26 IPS |
|
|
Depth Estimation (SP)
|
100% |
610
4.70 IPS |
|
|
Depth Estimation (HP)
|
99% |
611
4.71 IPS |
|
|
Depth Estimation (Q)
|
63% |
463
4.34 IPS |
|
|
Style Transfer (SP)
|
100% |
901
1.16 IPS |
|
|
Style Transfer (HP)
|
100% |
901
1.16 IPS |
|
|
Style Transfer (Q)
|
98% |
1179
1.52 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
314
11.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
315
11.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
324
12.0 IPS |
|
|
Text Classification (SP)
|
100% |
478
637.4 IPS |
|
|
Text Classification (HP)
|
100% |
478
638.5 IPS |
|
|
Text Classification (Q)
|
92% |
196
263.1 IPS |
|
|
Machine Translation (SP)
|
100% |
567
9.76 IPS |
|
|
Machine Translation (HP)
|
100% |
571
9.84 IPS |
|
|
Machine Translation (Q)
|
58% |
182
4.26 IPS |
