GEEKOM IT15
Geekbench AI Score
4818
Single Precision Score
1951
Half Precision Score
8812
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 18 2025 01:27 PM |
| Views | 32 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | GEEKOM IT15 |
| Motherboard | GEEKOM IT15 |
| Power Plan | Utilisation normale |
| 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 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3758
698.9 IPS |
|
|
Image Classification (HP)
|
100% |
591
109.8 IPS |
|
|
Image Classification (Q)
|
99% |
7996
1.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1867
30.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1271
20.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
10820
175.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8344
9.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
5856
6.83 IPS |
|
|
Pose Estimation (Q)
|
94% |
28011
32.8 IPS |
|
|
Object Detection (SP)
|
100% |
3612
286.5 IPS |
|
|
Object Detection (HP)
|
100% |
905
71.8 IPS |
|
|
Object Detection (Q)
|
86% |
8067
648.3 IPS |
|
|
Face Detection (SP)
|
100% |
10258
121.9 IPS |
|
|
Face Detection (HP)
|
100% |
2054
24.4 IPS |
|
|
Face Detection (Q)
|
97% |
10120
120.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
10137
78.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2753
21.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
18304
146.1 IPS |
|
|
Style Transfer (SP)
|
100% |
19611
25.2 IPS |
|
|
Style Transfer (HP)
|
100% |
13362
17.2 IPS |
|
|
Style Transfer (Q)
|
98% |
25097
32.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3656
135.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2626
97.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5769
213.6 IPS |
|
|
Text Classification (SP)
|
100% |
1723
2.30 KIPS |
|
|
Text Classification (HP)
|
100% |
865
1.15 KIPS |
|
|
Text Classification (Q)
|
97% |
1487
1.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
2486
42.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1173
20.2 IPS |
|
|
Machine Translation (Q)
|
65% |
3622
72.8 IPS |
