GEEKOM GT1 Mega
Geekbench ML Score
3432
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 15 2024 01:00 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | GEEKOM GT1 Mega |
| Motherboard | Default string GT1 Mega |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 185H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| L1 Instruction Cache | 64.0 KB x 11 |
| L1 Data Cache | 48.0 KB x 11 |
| L2 Cache | 2.00 MB x 2 |
| L3 Cache | 24.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1762
329.7 IPS |
|
|
Image Classification (F16)
|
100% |
1736
324.8 IPS |
|
|
Image Classification (I8)
|
99% |
2966
555.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1567
26.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1667
27.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
2379
39.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
6251
7.57 IPS |
|
|
Pose Estimation (F16)
|
100% |
6156
7.45 IPS |
|
|
Pose Estimation (I8)
|
100% |
22326
27.0 IPS |
|
|
Object Detection (F32)
|
100% |
1814
135.4 IPS |
|
|
Object Detection (F16)
|
100% |
1802
134.6 IPS |
|
|
Object Detection (I8)
|
62% |
1658
123.8 IPS |
|
|
Face Detection (F32)
|
100% |
3945
46.9 IPS |
|
|
Face Detection (F16)
|
100% |
3928
46.7 IPS |
|
|
Face Detection (I8)
|
89% |
4262
50.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
7033
54.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
7033
54.5 IPS |
|
|
Depth Estimation (I8)
|
96% |
14136
109.6 IPS |
|
|
Style Transfer (F32)
|
100% |
15398
20.3 IPS |
|
|
Style Transfer (F16)
|
100% |
15449
20.3 IPS |
|
|
Style Transfer (I8)
|
98% |
20719
27.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2877
102.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2834
101.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4165
148.7 IPS |
|
|
Text Classification (F32)
|
100% |
1117
1.61 KIPS |
|
|
Text Classification (F16)
|
100% |
1164
1.67 KIPS |
|
|
Text Classification (I8)
|
98% |
464
666.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1882
34.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1865
34.3 IPS |
|
|
Machine Translation (I8)
|
67% |
2716
50.0 IPS |
