GETAC K120G3
Geekbench ML Score
2204
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | November 11 2024 08:58 PM |
| Views | 2 |
System Information
| 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 |
| L1 Instruction Cache | 32.0 KB x 6 |
| L1 Data Cache | 48.0 KB x 6 |
| L2 Cache | 1.25 MB x 1 |
| L3 Cache | 12.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1175
219.8 IPS |
|
|
Image Classification (F16)
|
100% |
1183
221.3 IPS |
|
|
Image Classification (I8)
|
99% |
2059
385.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1053
17.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1053
17.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
1674
28.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
3252
3.94 IPS |
|
|
Pose Estimation (F16)
|
100% |
3258
3.95 IPS |
|
|
Pose Estimation (I8)
|
100% |
9112
11.0 IPS |
|
|
Object Detection (F32)
|
100% |
1264
94.4 IPS |
|
|
Object Detection (F16)
|
100% |
1270
94.8 IPS |
|
|
Object Detection (I8)
|
62% |
1146
85.5 IPS |
|
|
Face Detection (F32)
|
100% |
2268
27.0 IPS |
|
|
Face Detection (F16)
|
100% |
2258
26.8 IPS |
|
|
Face Detection (I8)
|
89% |
3021
35.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
3813
29.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
3813
29.6 IPS |
|
|
Depth Estimation (I8)
|
96% |
7595
58.9 IPS |
|
|
Style Transfer (F32)
|
100% |
8074
10.6 IPS |
|
|
Style Transfer (F16)
|
100% |
8176
10.8 IPS |
|
|
Style Transfer (I8)
|
98% |
12936
17.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1809
64.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1781
63.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2866
102.4 IPS |
|
|
Text Classification (F32)
|
100% |
1026
1.48 KIPS |
|
|
Text Classification (F16)
|
100% |
1007
1.45 KIPS |
|
|
Text Classification (I8)
|
98% |
395
567.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1403
25.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1425
26.2 IPS |
|
|
Machine Translation (I8)
|
67% |
1918
35.3 IPS |
