GEEKOM IT15
Geekbench AI Score
7428
Single Precision Score
11230
Half Precision Score
4834
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | July 04 2025 09:05 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) 140T GPU (16GB) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | GEEKOM IT15 |
| Motherboard | GEEKOM IT15 |
| Power Plan | Equilibrado |
| 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% |
4385
815.6 IPS |
|
|
Image Classification (HP)
|
100% |
5365
997.6 IPS |
|
|
Image Classification (Q)
|
100% |
3355
623.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
4717
76.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
8825
143.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3339
54.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
22494
26.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
40565
47.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
18146
21.3 IPS |
|
|
Object Detection (SP)
|
100% |
4643
368.3 IPS |
|
|
Object Detection (HP)
|
100% |
6430
510.1 IPS |
|
|
Object Detection (Q)
|
89% |
3368
269.8 IPS |
|
|
Face Detection (SP)
|
100% |
6033
71.7 IPS |
|
|
Face Detection (HP)
|
100% |
10595
125.9 IPS |
|
|
Face Detection (Q)
|
97% |
3936
46.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
17265
133.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
29116
224.3 IPS |
|
|
Depth Estimation (Q)
|
72% |
11681
96.6 IPS |
|
|
Style Transfer (SP)
|
100% |
59069
75.9 IPS |
|
|
Style Transfer (HP)
|
100% |
99363
127.7 IPS |
|
|
Style Transfer (Q)
|
98% |
40434
52.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8984
331.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16863
622.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5589
206.9 IPS |
|
|
Text Classification (SP)
|
100% |
1610
2.15 KIPS |
|
|
Text Classification (HP)
|
100% |
1779
2.37 KIPS |
|
|
Text Classification (Q)
|
97% |
986
1.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
2660
45.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2810
48.4 IPS |
|
|
Machine Translation (Q)
|
60% |
994
22.2 IPS |
