GETAC K120G3
Geekbench ML Score
2271
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | November 11 2024 08:44 PM |
| Views | 3 |
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 | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1108
207.4 IPS |
|
|
Image Classification (F16)
|
100% |
1104
206.6 IPS |
|
|
Image Classification (I8)
|
100% |
890
166.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1734
29.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1719
28.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
1275
21.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
11000
13.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
10893
13.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
5513
6.68 IPS |
|
|
Object Detection (F32)
|
100% |
1146
85.5 IPS |
|
|
Object Detection (F16)
|
100% |
1176
87.8 IPS |
|
|
Object Detection (I8)
|
54% |
960
71.6 IPS |
|
|
Face Detection (F32)
|
100% |
2483
29.5 IPS |
|
|
Face Detection (F16)
|
100% |
2470
29.4 IPS |
|
|
Face Detection (I8)
|
89% |
1633
19.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
5248
40.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
5319
41.3 IPS |
|
|
Depth Estimation (I8)
|
95% |
3889
30.2 IPS |
|
|
Style Transfer (F32)
|
100% |
23460
30.9 IPS |
|
|
Style Transfer (F16)
|
100% |
23301
30.7 IPS |
|
|
Style Transfer (I8)
|
98% |
14646
19.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3209
114.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3263
116.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
1405
50.2 IPS |
|
|
Text Classification (F32)
|
100% |
794
1.14 KIPS |
|
|
Text Classification (F16)
|
100% |
825
1.19 KIPS |
|
|
Text Classification (I8)
|
98% |
393
564.9 IPS |
|
|
Machine Translation (F32)
|
100% |
940
17.3 IPS |
|
|
Machine Translation (F16)
|
100% |
938
17.3 IPS |
|
|
Machine Translation (I8)
|
70% |
478
8.81 IPS |
