GETAC S510AD
Geekbench AI Score
7128
Single Precision Score
13802
Half Precision Score
5061
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 25 2025 05:12 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX A500 Embedded GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | GETAC S510AD |
| Motherboard | GETAC S510AD |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 7 PRO 350 w/ Radeon 860M |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 96 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3148
585.4 IPS |
|
|
Image Classification (HP)
|
99% |
6532
1.22 KIPS |
|
|
Image Classification (Q)
|
99% |
2751
513.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
4216
68.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
7110
115.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
3519
57.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
28263
33.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
85748
100.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
23110
27.1 IPS |
|
|
Object Detection (SP)
|
100% |
3443
273.1 IPS |
|
|
Object Detection (HP)
|
100% |
7575
600.9 IPS |
|
|
Object Detection (Q)
|
84% |
2813
226.9 IPS |
|
|
Face Detection (SP)
|
100% |
6538
77.7 IPS |
|
|
Face Detection (HP)
|
100% |
11851
140.8 IPS |
|
|
Face Detection (Q)
|
97% |
5498
65.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
15258
117.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
34830
268.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
11536
92.4 IPS |
|
|
Style Transfer (SP)
|
100% |
52367
67.3 IPS |
|
|
Style Transfer (HP)
|
100% |
147137
189.1 IPS |
|
|
Style Transfer (Q)
|
98% |
41156
53.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9347
345.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19501
720.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5550
205.5 IPS |
|
|
Text Classification (SP)
|
100% |
2375
3.17 KIPS |
|
|
Text Classification (HP)
|
99% |
2904
3.88 KIPS |
|
|
Text Classification (Q)
|
97% |
1239
1.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
2262
39.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2418
41.7 IPS |
|
|
Machine Translation (Q)
|
70% |
976
18.3 IPS |
