GETAC S510
Geekbench AI Score
1373
Single Precision Score
364
Half Precision Score
2188
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | jefflin66 |
| Upload Date | August 26 2024 03:22 AM |
| Views | 20 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 7 155U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | GETAC S510 |
| Motherboard | GETAC S510 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
827
153.8 IPS |
|
|
Image Classification (HP)
|
100% |
83
15.4 IPS |
|
|
Image Classification (Q)
|
99% |
2211
412.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
731
11.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
136
2.21 IPS |
|
|
Image Segmentation (Q)
|
98% |
1814
29.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1809
2.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
1296
1.51 IPS |
|
|
Pose Estimation (Q)
|
95% |
7788
9.13 IPS |
|
|
Object Detection (SP)
|
100% |
918
72.8 IPS |
|
|
Object Detection (HP)
|
100% |
113
8.93 IPS |
|
|
Object Detection (Q)
|
88% |
914
73.3 IPS |
|
|
Face Detection (SP)
|
100% |
1826
21.7 IPS |
|
|
Face Detection (HP)
|
100% |
172
2.05 IPS |
|
|
Face Detection (Q)
|
97% |
2274
27.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2446
18.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
472
3.64 IPS |
|
|
Depth Estimation (Q)
|
76% |
4240
34.2 IPS |
|
|
Style Transfer (SP)
|
100% |
4853
6.24 IPS |
|
|
Style Transfer (HP)
|
100% |
3438
4.42 IPS |
|
|
Style Transfer (Q)
|
98% |
10161
13.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1034
38.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
732
27.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2070
76.7 IPS |
|
|
Text Classification (SP)
|
100% |
1231
1.64 KIPS |
|
|
Text Classification (HP)
|
100% |
357
476.2 IPS |
|
|
Text Classification (Q)
|
97% |
401
537.5 IPS |
|
|
Machine Translation (SP)
|
100% |
862
14.8 IPS |
|
|
Machine Translation (HP)
|
100% |
342
5.89 IPS |
|
|
Machine Translation (Q)
|
60% |
1084
24.2 IPS |
