ASUS System Product Name
Geekbench AI Score
10174
Single Precision Score
8534
Half Precision Score
13282
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | SkatterBencher |
| Upload Date | April 11 2025 02:47 PM |
| 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% |
6382
1.19 KIPS |
|
|
Image Classification (HP)
|
100% |
6720
1.25 KIPS |
|
|
Image Classification (Q)
|
100% |
9701
1.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8908
144.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2675
43.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3535
57.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
15912
18.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
33570
39.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
71713
84.0 IPS |
|
|
Object Detection (SP)
|
100% |
6474
513.5 IPS |
|
|
Object Detection (HP)
|
100% |
4946
392.3 IPS |
|
|
Object Detection (Q)
|
89% |
8920
714.4 IPS |
|
|
Face Detection (SP)
|
100% |
17776
211.2 IPS |
|
|
Face Detection (HP)
|
100% |
14614
173.7 IPS |
|
|
Face Detection (Q)
|
100% |
28243
335.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
16012
123.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
16725
128.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
33003
256.8 IPS |
|
|
Style Transfer (SP)
|
100% |
44275
56.9 IPS |
|
|
Style Transfer (HP)
|
100% |
50388
64.8 IPS |
|
|
Style Transfer (Q)
|
98% |
91794
118.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9490
350.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12761
471.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21168
783.9 IPS |
|
|
Text Classification (SP)
|
100% |
4357
5.82 KIPS |
|
|
Text Classification (HP)
|
100% |
1364
1.82 KIPS |
|
|
Text Classification (Q)
|
92% |
1334
1.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
3897
67.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3205
55.2 IPS |
|
|
Machine Translation (Q)
|
100% |
3226
55.6 IPS |
