Default string Default string
Geekbench AI Score
9034
Single Precision Score
8138
Half Precision Score
13018
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 20 2025 02:06 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Default string Default string |
| Motherboard | Default string Default string |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 285K |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5872
1.09 KIPS |
|
|
Image Classification (HP)
|
100% |
6296
1.17 KIPS |
|
|
Image Classification (Q)
|
100% |
9307
1.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8008
129.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2759
44.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3812
61.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
14496
16.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
32456
37.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
70849
83.0 IPS |
|
|
Object Detection (SP)
|
100% |
4789
379.9 IPS |
|
|
Object Detection (HP)
|
100% |
4984
395.4 IPS |
|
|
Object Detection (Q)
|
87% |
8937
717.3 IPS |
|
|
Face Detection (SP)
|
100% |
14359
170.6 IPS |
|
|
Face Detection (HP)
|
100% |
11288
134.1 IPS |
|
|
Face Detection (Q)
|
100% |
21740
258.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
13246
102.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
11735
90.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
22348
173.9 IPS |
|
|
Style Transfer (SP)
|
100% |
42323
54.4 IPS |
|
|
Style Transfer (HP)
|
100% |
36722
47.2 IPS |
|
|
Style Transfer (Q)
|
98% |
67166
86.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9041
333.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12612
465.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24567
909.8 IPS |
|
|
Text Classification (SP)
|
100% |
4173
5.57 KIPS |
|
|
Text Classification (HP)
|
100% |
2048
2.73 KIPS |
|
|
Text Classification (Q)
|
92% |
2118
2.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
3653
62.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3609
62.2 IPS |
|
|
Machine Translation (Q)
|
100% |
3667
63.2 IPS |
