GEEKOM GT1 Mega
Geekbench ML Score
3083
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 15 2024 01:16 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 | DirectML |
| Device | Intel(R) Arc(TM) Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1429
267.3 IPS |
|
|
Image Classification (F16)
|
100% |
1447
270.8 IPS |
|
|
Image Classification (I8)
|
100% |
1243
232.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1550
25.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1548
25.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
1323
22.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
13553
16.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
13591
16.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
11731
14.2 IPS |
|
|
Object Detection (F32)
|
100% |
1248
93.1 IPS |
|
|
Object Detection (F16)
|
100% |
1257
93.8 IPS |
|
|
Object Detection (I8)
|
54% |
1025
76.5 IPS |
|
|
Face Detection (F32)
|
100% |
1123
13.4 IPS |
|
|
Face Detection (F16)
|
100% |
1128
13.4 IPS |
|
|
Face Detection (I8)
|
89% |
1018
12.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
7973
61.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
8176
63.4 IPS |
|
|
Depth Estimation (I8)
|
95% |
6546
50.8 IPS |
|
|
Style Transfer (F32)
|
100% |
41667
54.8 IPS |
|
|
Style Transfer (F16)
|
100% |
41532
54.6 IPS |
|
|
Style Transfer (I8)
|
98% |
30964
40.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7843
280.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7790
278.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5296
189.1 IPS |
|
|
Text Classification (F32)
|
90% |
815
1.17 KIPS |
|
|
Text Classification (F16)
|
90% |
808
1.16 KIPS |
|
|
Text Classification (I8)
|
90% |
621
892.7 IPS |
|
|
Machine Translation (F32)
|
100% |
2060
37.9 IPS |
|
|
Machine Translation (F16)
|
100% |
2036
37.5 IPS |
|
|
Machine Translation (I8)
|
70% |
1008
18.6 IPS |
