ASUS System Product Name
Geekbench AI Score
10508
Single Precision Score
8659
Half Precision Score
13557
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | SkatterBencher |
| Upload Date | April 12 2025 01:48 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z890 APEX |
| Power Plan | High performance |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6325
1.18 KIPS |
|
|
Image Classification (HP)
|
100% |
6858
1.28 KIPS |
|
|
Image Classification (Q)
|
100% |
10118
1.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9067
147.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2715
44.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3642
59.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
16044
18.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
33773
39.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
72093
84.4 IPS |
|
|
Object Detection (SP)
|
100% |
6854
543.7 IPS |
|
|
Object Detection (HP)
|
100% |
5059
401.3 IPS |
|
|
Object Detection (Q)
|
89% |
9046
724.5 IPS |
|
|
Face Detection (SP)
|
100% |
18523
220.1 IPS |
|
|
Face Detection (HP)
|
100% |
14603
173.5 IPS |
|
|
Face Detection (Q)
|
100% |
28707
341.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
16640
128.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
17100
131.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
34627
269.4 IPS |
|
|
Style Transfer (SP)
|
100% |
44644
57.4 IPS |
|
|
Style Transfer (HP)
|
100% |
52475
67.5 IPS |
|
|
Style Transfer (Q)
|
98% |
91949
118.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9633
355.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12672
467.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21748
805.4 IPS |
|
|
Text Classification (SP)
|
100% |
4405
5.88 KIPS |
|
|
Text Classification (HP)
|
100% |
1359
1.81 KIPS |
|
|
Text Classification (Q)
|
92% |
1349
1.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
4460
76.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3302
56.9 IPS |
|
|
Machine Translation (Q)
|
100% |
3256
56.1 IPS |
