GETAC S410G5
Geekbench AI Score
2195
Single Precision Score
599
Half Precision Score
3012
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | jefflin66 |
| Upload Date | August 27 2024 06:19 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core 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% |
1304
242.5 IPS |
|
|
Image Classification (HP)
|
100% |
146
27.2 IPS |
|
|
Image Classification (Q)
|
99% |
2271
423.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1230
19.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
245
3.97 IPS |
|
|
Image Segmentation (Q)
|
98% |
1808
29.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3730
4.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
2515
2.93 IPS |
|
|
Pose Estimation (Q)
|
95% |
12631
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1398
110.9 IPS |
|
|
Object Detection (HP)
|
100% |
187
14.8 IPS |
|
|
Object Detection (Q)
|
88% |
1575
126.2 IPS |
|
|
Face Detection (SP)
|
100% |
2382
28.3 IPS |
|
|
Face Detection (HP)
|
100% |
267
3.17 IPS |
|
|
Face Detection (Q)
|
97% |
3822
45.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4609
35.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
707
5.45 IPS |
|
|
Depth Estimation (Q)
|
76% |
7167
57.7 IPS |
|
|
Style Transfer (SP)
|
100% |
8613
11.1 IPS |
|
|
Style Transfer (HP)
|
100% |
6261
8.05 IPS |
|
|
Style Transfer (Q)
|
98% |
14446
18.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1727
63.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1304
48.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2943
109.0 IPS |
|
|
Text Classification (SP)
|
100% |
1329
1.77 KIPS |
|
|
Text Classification (HP)
|
100% |
500
667.6 IPS |
|
|
Text Classification (Q)
|
97% |
441
591.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1434
24.7 IPS |
|
|
Machine Translation (HP)
|
100% |
459
7.91 IPS |
|
|
Machine Translation (Q)
|
60% |
1469
32.8 IPS |
