GETAC S410G5
Geekbench AI Score
5200
Single Precision Score
6869
Half Precision Score
10590
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | jefflin66 |
| Upload Date | August 27 2024 06:30 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Iris(R) Xe Graphics (iGPU) |
| 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% |
3173
590.0 IPS |
|
|
Image Classification (HP)
|
100% |
4583
852.3 IPS |
|
|
Image Classification (Q)
|
99% |
6494
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4766
77.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
7348
119.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
9778
158.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11506
13.4 IPS |
|
|
Pose Estimation (HP)
|
99% |
8502
9.92 IPS |
|
|
Pose Estimation (Q)
|
97% |
34160
40.0 IPS |
|
|
Object Detection (SP)
|
100% |
3022
239.7 IPS |
|
|
Object Detection (HP)
|
100% |
4086
324.1 IPS |
|
|
Object Detection (Q)
|
90% |
6228
498.0 IPS |
|
|
Face Detection (SP)
|
100% |
8589
102.1 IPS |
|
|
Face Detection (HP)
|
100% |
12763
151.7 IPS |
|
|
Face Detection (Q)
|
100% |
18609
221.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
10712
82.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
17212
133.0 IPS |
|
|
Depth Estimation (Q)
|
79% |
22477
178.2 IPS |
|
|
Style Transfer (SP)
|
100% |
29721
38.2 IPS |
|
|
Style Transfer (HP)
|
100% |
43006
55.3 IPS |
|
|
Style Transfer (Q)
|
98% |
76621
98.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4692
173.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7268
268.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13507
500.2 IPS |
|
|
Text Classification (SP)
|
71% |
1422
2.06 KIPS |
|
|
Text Classification (HP)
|
71% |
1551
2.24 KIPS |
|
|
Text Classification (Q)
|
92% |
1576
2.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
1509
26.0 IPS |
|
|
Machine Translation (HP)
|
96% |
1879
32.5 IPS |
|
|
Machine Translation (Q)
|
89% |
1925
33.5 IPS |
