GETAC S410G5
Geekbench AI Score
2432
Single Precision Score
2535
Half Precision Score
7210
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | jefflin66 |
| Upload Date | August 27 2024 06:24 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i7-1360P |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | GETAC S410G5 |
| Motherboard | GETAC S410G5 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1360P |
| Topology | 1 Processor, 12 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1584
294.6 IPS |
|
|
Image Classification (HP)
|
100% |
1599
297.4 IPS |
|
|
Image Classification (Q)
|
100% |
4741
881.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1976
32.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2308
37.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4166
67.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2932
3.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
2929
3.42 IPS |
|
|
Pose Estimation (Q)
|
96% |
11247
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
1447
114.7 IPS |
|
|
Object Detection (HP)
|
100% |
1571
124.6 IPS |
|
|
Object Detection (Q)
|
88% |
4294
344.2 IPS |
|
|
Face Detection (SP)
|
100% |
4215
50.1 IPS |
|
|
Face Detection (HP)
|
100% |
4670
55.5 IPS |
|
|
Face Detection (Q)
|
100% |
10760
127.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3886
29.9 IPS |
|
|
Depth Estimation (HP)
|
100% |
3800
29.3 IPS |
|
|
Depth Estimation (Q)
|
80% |
11011
87.2 IPS |
|
|
Style Transfer (SP)
|
100% |
10139
13.0 IPS |
|
|
Style Transfer (HP)
|
100% |
11417
14.7 IPS |
|
|
Style Transfer (Q)
|
98% |
33216
42.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2235
82.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2023
74.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6658
246.6 IPS |
|
|
Text Classification (SP)
|
100% |
632
843.9 IPS |
|
|
Text Classification (HP)
|
100% |
675
901.4 IPS |
|
|
Text Classification (Q)
|
92% |
3221
4.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
2328
40.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2334
40.2 IPS |
|
|
Machine Translation (Q)
|
85% |
4719
82.6 IPS |
