GETAC S510AD
Geekbench AI Score
3711
Single Precision Score
1868
Half Precision Score
8284
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 25 2025 05:07 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI 7 PRO 350 w/ Radeon 860M |
| 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% |
3098
576.1 IPS |
|
|
Image Classification (HP)
|
100% |
834
155.0 IPS |
|
|
Image Classification (Q)
|
99% |
7484
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1311
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1157
18.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
9364
152.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5204
6.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
4340
5.06 IPS |
|
|
Pose Estimation (Q)
|
94% |
20537
24.1 IPS |
|
|
Object Detection (SP)
|
100% |
2775
220.1 IPS |
|
|
Object Detection (HP)
|
100% |
892
70.8 IPS |
|
|
Object Detection (Q)
|
86% |
7238
581.7 IPS |
|
|
Face Detection (SP)
|
100% |
6369
75.7 IPS |
|
|
Face Detection (HP)
|
100% |
1968
23.4 IPS |
|
|
Face Detection (Q)
|
97% |
8726
104.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7370
56.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2627
20.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
15870
126.6 IPS |
|
|
Style Transfer (SP)
|
100% |
12796
16.4 IPS |
|
|
Style Transfer (HP)
|
100% |
10592
13.6 IPS |
|
|
Style Transfer (Q)
|
98% |
30076
38.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2497
92.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2229
82.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4716
174.6 IPS |
|
|
Text Classification (SP)
|
100% |
2298
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
1130
1.51 KIPS |
|
|
Text Classification (Q)
|
97% |
1997
2.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
2451
42.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1006
17.3 IPS |
|
|
Machine Translation (Q)
|
65% |
3725
74.8 IPS |
