GRT GH9
Geekbench ML Score
2387
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 12 2025 11:07 AM |
| Views | 9 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | GRT GH9 |
| Motherboard | GRT GH9 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-12900HK |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 10 |
| L1 Data Cache | 48.0 KB x 10 |
| L2 Cache | 1.25 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) Iris(R) Xe Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1212
226.7 IPS |
|
|
Image Classification (F16)
|
100% |
1146
214.4 IPS |
|
|
Image Classification (I8)
|
100% |
885
165.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1869
31.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1870
31.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
1370
22.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
12097
14.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
11758
14.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
5945
7.20 IPS |
|
|
Object Detection (F32)
|
100% |
1105
82.5 IPS |
|
|
Object Detection (F16)
|
100% |
1110
82.9 IPS |
|
|
Object Detection (I8)
|
54% |
898
67.0 IPS |
|
|
Face Detection (F32)
|
100% |
2581
30.7 IPS |
|
|
Face Detection (F16)
|
100% |
2530
30.1 IPS |
|
|
Face Detection (I8)
|
89% |
1731
20.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
5954
46.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
5958
46.2 IPS |
|
|
Depth Estimation (I8)
|
95% |
4209
32.6 IPS |
|
|
Style Transfer (F32)
|
100% |
25631
33.7 IPS |
|
|
Style Transfer (F16)
|
100% |
25674
33.8 IPS |
|
|
Style Transfer (I8)
|
98% |
16293
21.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3728
133.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3820
136.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
1599
57.1 IPS |
|
|
Text Classification (F32)
|
100% |
776
1.12 KIPS |
|
|
Text Classification (F16)
|
100% |
742
1.07 KIPS |
|
|
Text Classification (I8)
|
98% |
429
617.1 IPS |
|
|
Machine Translation (F32)
|
100% |
897
16.5 IPS |
|
|
Machine Translation (F16)
|
100% |
907
16.7 IPS |
|
|
Machine Translation (I8)
|
70% |
480
8.83 IPS |
