GETAC S510
Geekbench AI Score
2214
Single Precision Score
7481
Half Precision Score
11340
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 26 2024 01:36 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | GETAC S510 |
| Motherboard | GETAC S510 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) CoreTM Ultra 7 165U |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1200
223.1 IPS |
|
|
Image Classification (HP)
|
100% |
5172
961.9 IPS |
|
|
Image Classification (Q)
|
100% |
6734
1.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1732
28.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2325
37.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3082
50.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2740
3.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
28826
33.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
60565
70.9 IPS |
|
|
Object Detection (SP)
|
100% |
1161
92.1 IPS |
|
|
Object Detection (HP)
|
100% |
4416
350.3 IPS |
|
|
Object Detection (Q)
|
87% |
7476
600.0 IPS |
|
|
Face Detection (SP)
|
100% |
3641
43.3 IPS |
|
|
Face Detection (HP)
|
100% |
11721
139.3 IPS |
|
|
Face Detection (Q)
|
100% |
20081
238.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3785
29.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
14408
111.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
28810
224.2 IPS |
|
|
Style Transfer (SP)
|
100% |
8121
10.4 IPS |
|
|
Style Transfer (HP)
|
100% |
42573
54.7 IPS |
|
|
Style Transfer (Q)
|
98% |
76969
99.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1448
53.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11547
426.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19303
714.9 IPS |
|
|
Text Classification (SP)
|
100% |
1216
1.62 KIPS |
|
|
Text Classification (HP)
|
100% |
1648
2.20 KIPS |
|
|
Text Classification (Q)
|
92% |
1651
2.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
2173
37.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2622
45.2 IPS |
|
|
Machine Translation (Q)
|
100% |
2638
45.4 IPS |
