GEEKOM IT15
Geekbench ML Score
6172
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 01 2025 03:49 PM |
| Views | 12 |
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% |
4327
809.7 IPS |
|
|
Image Classification (F16)
|
100% |
4289
802.6 IPS |
|
|
Image Classification (I8)
|
100% |
3214
601.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
4620
77.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
4553
76.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
3224
53.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
21989
26.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
21483
26.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
17379
21.0 IPS |
|
|
Object Detection (F32)
|
100% |
4088
305.2 IPS |
|
|
Object Detection (F16)
|
100% |
3797
283.5 IPS |
|
|
Object Detection (I8)
|
59% |
2667
199.1 IPS |
|
|
Face Detection (F32)
|
100% |
6026
71.6 IPS |
|
|
Face Detection (F16)
|
100% |
5738
68.2 IPS |
|
|
Face Detection (I8)
|
89% |
3828
45.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
16629
129.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
16956
131.5 IPS |
|
|
Depth Estimation (I8)
|
95% |
12701
98.5 IPS |
|
|
Style Transfer (F32)
|
100% |
57633
75.8 IPS |
|
|
Style Transfer (F16)
|
100% |
55160
72.6 IPS |
|
|
Style Transfer (I8)
|
98% |
38539
50.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8765
313.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8955
319.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5673
202.6 IPS |
|
|
Text Classification (F32)
|
100% |
1436
2.06 KIPS |
|
|
Text Classification (F16)
|
100% |
1397
2.01 KIPS |
|
|
Text Classification (I8)
|
98% |
885
1.27 KIPS |
|
|
Machine Translation (F32)
|
100% |
2554
47.0 IPS |
|
|
Machine Translation (F16)
|
100% |
2565
47.2 IPS |
|
|
Machine Translation (I8)
|
70% |
1252
23.0 IPS |
