GETAC S510
Geekbench AI Score
1817
Single Precision Score
458
Half Precision Score
2726
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | jefflin66 |
| Upload Date | December 24 2024 03:30 AM |
| Views | 3 |
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% |
1307
243.1 IPS |
|
|
Image Classification (HP)
|
100% |
123
22.9 IPS |
|
|
Image Classification (Q)
|
99% |
2464
459.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
987
16.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
173
2.81 IPS |
|
|
Image Segmentation (Q)
|
98% |
1918
31.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2352
2.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
1593
1.86 IPS |
|
|
Pose Estimation (Q)
|
95% |
11181
13.1 IPS |
|
|
Object Detection (SP)
|
100% |
1294
102.7 IPS |
|
|
Object Detection (HP)
|
100% |
132
10.5 IPS |
|
|
Object Detection (Q)
|
88% |
1253
100.4 IPS |
|
|
Face Detection (SP)
|
100% |
1979
23.5 IPS |
|
|
Face Detection (HP)
|
100% |
197
2.34 IPS |
|
|
Face Detection (Q)
|
97% |
2718
32.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3780
29.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
576
4.44 IPS |
|
|
Depth Estimation (Q)
|
76% |
5840
47.1 IPS |
|
|
Style Transfer (SP)
|
100% |
6861
8.82 IPS |
|
|
Style Transfer (HP)
|
100% |
4399
5.66 IPS |
|
|
Style Transfer (Q)
|
98% |
12193
15.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1554
57.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
984
36.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2860
105.9 IPS |
|
|
Text Classification (SP)
|
100% |
1130
1.51 KIPS |
|
|
Text Classification (HP)
|
100% |
453
605.3 IPS |
|
|
Text Classification (Q)
|
97% |
459
614.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1114
19.2 IPS |
|
|
Machine Translation (HP)
|
100% |
409
7.04 IPS |
|
|
Machine Translation (Q)
|
60% |
1351
30.1 IPS |
