GETAC S510AD
Geekbench AI Score
6177
Single Precision Score
9784
Half Precision Score
4697
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 25 2025 05:09 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 860M Graphics |
| 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% |
1851
344.2 IPS |
|
|
Image Classification (HP)
|
100% |
3567
663.3 IPS |
|
|
Image Classification (Q)
|
100% |
1626
302.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2669
43.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3805
61.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2969
48.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
29223
34.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
56814
66.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
23734
27.8 IPS |
|
|
Object Detection (SP)
|
100% |
1845
146.3 IPS |
|
|
Object Detection (HP)
|
100% |
2885
228.8 IPS |
|
|
Object Detection (Q)
|
87% |
1591
127.8 IPS |
|
|
Face Detection (SP)
|
100% |
5602
66.6 IPS |
|
|
Face Detection (HP)
|
100% |
9202
109.3 IPS |
|
|
Face Detection (Q)
|
97% |
4752
56.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
13872
106.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
19713
151.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
10846
87.0 IPS |
|
|
Style Transfer (SP)
|
100% |
49727
63.9 IPS |
|
|
Style Transfer (HP)
|
100% |
89501
115.1 IPS |
|
|
Style Transfer (Q)
|
98% |
38710
49.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10432
385.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19448
718.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7025
260.1 IPS |
|
|
Text Classification (SP)
|
100% |
2171
2.90 KIPS |
|
|
Text Classification (HP)
|
100% |
3328
4.44 KIPS |
|
|
Text Classification (Q)
|
97% |
1573
2.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
3471
59.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3439
59.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1302
24.4 IPS |
