GETAC K120G3
Geekbench AI Score
1467
Single Precision Score
373
Half Precision Score
2046
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | jefflin66 |
| Upload Date | August 26 2024 05:07 AM |
| Views | 19 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-1365U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | GETAC K120G3 |
| Motherboard | GETAC K120G3 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1365U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 3 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
872
162.1 IPS |
|
|
Image Classification (HP)
|
100% |
87
16.1 IPS |
|
|
Image Classification (Q)
|
99% |
1528
284.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
827
13.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
157
2.54 IPS |
|
|
Image Segmentation (Q)
|
98% |
1347
21.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2473
2.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
1319
1.54 IPS |
|
|
Pose Estimation (Q)
|
95% |
7512
8.81 IPS |
|
|
Object Detection (SP)
|
100% |
997
79.1 IPS |
|
|
Object Detection (HP)
|
100% |
120
9.51 IPS |
|
|
Object Detection (Q)
|
88% |
980
78.5 IPS |
|
|
Face Detection (SP)
|
100% |
1895
22.5 IPS |
|
|
Face Detection (HP)
|
100% |
185
2.20 IPS |
|
|
Face Detection (Q)
|
97% |
2514
30.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3030
23.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
467
3.59 IPS |
|
|
Depth Estimation (Q)
|
76% |
4482
36.1 IPS |
|
|
Style Transfer (SP)
|
100% |
6138
7.89 IPS |
|
|
Style Transfer (HP)
|
100% |
3575
4.60 IPS |
|
|
Style Transfer (Q)
|
98% |
11040
14.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1148
42.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
755
27.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1969
72.9 IPS |
|
|
Text Classification (SP)
|
100% |
705
941.4 IPS |
|
|
Text Classification (HP)
|
100% |
330
440.2 IPS |
|
|
Text Classification (Q)
|
97% |
340
455.8 IPS |
|
|
Machine Translation (SP)
|
100% |
916
15.8 IPS |
|
|
Machine Translation (HP)
|
100% |
320
5.51 IPS |
|
|
Machine Translation (Q)
|
60% |
1021
22.8 IPS |
