GETAC K120G3
Geekbench AI Score
1465
Single Precision Score
1460
Half Precision Score
3050
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | jefflin66 |
| Upload Date | August 27 2024 01:38 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) 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% |
940
174.8 IPS |
|
|
Image Classification (HP)
|
100% |
902
167.8 IPS |
|
|
Image Classification (Q)
|
100% |
1657
308.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1172
19.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1245
20.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
1990
32.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2377
2.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
1806
2.11 IPS |
|
|
Pose Estimation (Q)
|
96% |
5176
6.06 IPS |
|
|
Object Detection (SP)
|
100% |
869
69.0 IPS |
|
|
Object Detection (HP)
|
100% |
1009
80.0 IPS |
|
|
Object Detection (Q)
|
88% |
1948
156.1 IPS |
|
|
Face Detection (SP)
|
100% |
2647
31.4 IPS |
|
|
Face Detection (HP)
|
100% |
2755
32.7 IPS |
|
|
Face Detection (Q)
|
100% |
4042
48.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2882
22.2 IPS |
|
|
Depth Estimation (HP)
|
100% |
2890
22.3 IPS |
|
|
Depth Estimation (Q)
|
80% |
5545
43.9 IPS |
|
|
Style Transfer (SP)
|
100% |
6126
7.88 IPS |
|
|
Style Transfer (HP)
|
100% |
5948
7.65 IPS |
|
|
Style Transfer (Q)
|
98% |
14190
18.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1196
44.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1180
43.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3164
117.2 IPS |
|
|
Text Classification (SP)
|
100% |
454
605.9 IPS |
|
|
Text Classification (HP)
|
100% |
482
643.1 IPS |
|
|
Text Classification (Q)
|
92% |
1315
1.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
794
13.7 IPS |
|
|
Machine Translation (HP)
|
100% |
802
13.8 IPS |
|
|
Machine Translation (Q)
|
85% |
1588
27.8 IPS |
