GEEKOM IT15
Geekbench AI Score
3856
Single Precision Score
1641
Half Precision Score
7491
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 24 2025 01:51 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | GEEKOM IT15 |
| Motherboard | GEEKOM IT15 |
| Power Plan | Ausbalanciert |
| 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% |
3023
562.3 IPS |
|
|
Image Classification (HP)
|
100% |
625
116.3 IPS |
|
|
Image Classification (Q)
|
99% |
7442
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1824
29.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1180
19.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
10243
166.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6671
7.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
4502
5.25 IPS |
|
|
Pose Estimation (Q)
|
94% |
21319
25.0 IPS |
|
|
Object Detection (SP)
|
100% |
2285
181.2 IPS |
|
|
Object Detection (HP)
|
100% |
691
54.8 IPS |
|
|
Object Detection (Q)
|
86% |
6580
528.8 IPS |
|
|
Face Detection (SP)
|
100% |
8036
95.5 IPS |
|
|
Face Detection (HP)
|
100% |
1793
21.3 IPS |
|
|
Face Detection (Q)
|
97% |
9025
107.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8722
67.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2255
17.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
13166
105.1 IPS |
|
|
Style Transfer (SP)
|
100% |
14885
19.1 IPS |
|
|
Style Transfer (HP)
|
100% |
11243
14.5 IPS |
|
|
Style Transfer (Q)
|
98% |
22531
29.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2540
93.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2102
77.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5034
186.4 IPS |
|
|
Text Classification (SP)
|
100% |
1574
2.10 KIPS |
|
|
Text Classification (HP)
|
100% |
667
890.0 IPS |
|
|
Text Classification (Q)
|
97% |
1317
1.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
2077
35.8 IPS |
|
|
Machine Translation (HP)
|
100% |
971
16.7 IPS |
|
|
Machine Translation (Q)
|
65% |
2935
59.0 IPS |
