GETAC S510AD
Geekbench AI Score
4934
Single Precision Score
4931
Half Precision Score
13457
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 25 2025 05:14 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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% |
3138
583.5 IPS |
|
|
Image Classification (HP)
|
100% |
3141
584.2 IPS |
|
|
Image Classification (Q)
|
100% |
9062
1.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3668
59.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3635
58.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
9778
158.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5478
6.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
5322
6.21 IPS |
|
|
Pose Estimation (Q)
|
98% |
21065
24.7 IPS |
|
|
Object Detection (SP)
|
100% |
2846
225.7 IPS |
|
|
Object Detection (HP)
|
100% |
2875
228.0 IPS |
|
|
Object Detection (Q)
|
88% |
8958
718.1 IPS |
|
|
Face Detection (SP)
|
100% |
7791
92.6 IPS |
|
|
Face Detection (HP)
|
100% |
7859
93.4 IPS |
|
|
Face Detection (Q)
|
100% |
21938
260.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7530
58.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
7637
58.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
22359
174.0 IPS |
|
|
Style Transfer (SP)
|
100% |
14917
19.2 IPS |
|
|
Style Transfer (HP)
|
100% |
14922
19.2 IPS |
|
|
Style Transfer (Q)
|
98% |
58438
75.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3337
123.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3364
124.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11741
434.8 IPS |
|
|
Text Classification (SP)
|
100% |
3254
4.34 KIPS |
|
|
Text Classification (HP)
|
100% |
3325
4.44 KIPS |
|
|
Text Classification (Q)
|
92% |
5135
6.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
5020
86.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4863
83.8 IPS |
|
|
Machine Translation (Q)
|
100% |
6741
116.1 IPS |
