GEEKOM IT15
Geekbench AI Score
4722
Single Precision Score
4812
Half Precision Score
11328
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 01 2025 10:46 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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 |
| 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% |
3535
657.4 IPS |
|
|
Image Classification (HP)
|
100% |
3859
717.7 IPS |
|
|
Image Classification (Q)
|
100% |
8741
1.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3860
62.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2125
34.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
8322
134.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6908
8.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
6345
7.40 IPS |
|
|
Pose Estimation (Q)
|
96% |
24604
28.8 IPS |
|
|
Object Detection (SP)
|
100% |
2840
225.3 IPS |
|
|
Object Detection (HP)
|
100% |
3500
277.6 IPS |
|
|
Object Detection (Q)
|
88% |
8864
710.6 IPS |
|
|
Face Detection (SP)
|
100% |
8563
101.7 IPS |
|
|
Face Detection (HP)
|
100% |
9947
118.2 IPS |
|
|
Face Detection (Q)
|
100% |
17297
205.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7104
54.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
7971
61.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
21528
167.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16815
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
17578
22.6 IPS |
|
|
Style Transfer (Q)
|
98% |
66801
86.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3249
120.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3627
133.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7799
288.8 IPS |
|
|
Text Classification (SP)
|
100% |
2323
3.10 KIPS |
|
|
Text Classification (HP)
|
100% |
1472
1.97 KIPS |
|
|
Text Classification (Q)
|
92% |
3669
4.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
2670
46.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4920
84.7 IPS |
|
|
Machine Translation (Q)
|
100% |
3083
53.1 IPS |
