GEEKOM IT15
Geekbench ML Score
6230
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 01 2025 05:19 PM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | GEEKOM IT15 |
| Motherboard | GEEKOM IT15 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 285H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| L1 Instruction Cache | 64.0 KB x 8 |
| L1 Data Cache | 48.0 KB x 8 |
| L2 Cache | 3.00 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) 140T GPU (16GB) |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4201
786.1 IPS |
|
|
Image Classification (F16)
|
100% |
4228
791.2 IPS |
|
|
Image Classification (I8)
|
100% |
3223
603.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
4962
82.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
4799
80.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
3438
57.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
22109
26.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
21767
26.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
17376
21.0 IPS |
|
|
Object Detection (F32)
|
100% |
3744
279.5 IPS |
|
|
Object Detection (F16)
|
100% |
3919
292.6 IPS |
|
|
Object Detection (I8)
|
59% |
2759
206.0 IPS |
|
|
Face Detection (F32)
|
100% |
6174
73.4 IPS |
|
|
Face Detection (F16)
|
100% |
6034
71.7 IPS |
|
|
Face Detection (I8)
|
89% |
3912
46.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
16819
130.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
16894
131.0 IPS |
|
|
Depth Estimation (I8)
|
95% |
12869
99.8 IPS |
|
|
Style Transfer (F32)
|
100% |
57463
75.6 IPS |
|
|
Style Transfer (F16)
|
100% |
56609
74.5 IPS |
|
|
Style Transfer (I8)
|
98% |
38942
51.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8783
313.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8529
304.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5877
209.9 IPS |
|
|
Text Classification (F32)
|
100% |
1413
2.03 KIPS |
|
|
Text Classification (F16)
|
100% |
1392
2.00 KIPS |
|
|
Text Classification (I8)
|
98% |
877
1.26 KIPS |
|
|
Machine Translation (F32)
|
100% |
2579
47.5 IPS |
|
|
Machine Translation (F16)
|
100% |
2562
47.1 IPS |
|
|
Machine Translation (I8)
|
70% |
1276
23.5 IPS |
