ASUS System Product Name
Geekbench AI Score
10572
Single Precision Score
8768
Half Precision Score
13677
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | SkatterBencher |
| Upload Date | April 12 2025 07:07 AM |
| Views | 4 |
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% |
6709
1.25 KIPS |
|
|
Image Classification (HP)
|
100% |
6992
1.30 KIPS |
|
|
Image Classification (Q)
|
100% |
10241
1.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9179
148.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2720
44.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3607
58.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
16166
18.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
33843
39.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
71963
84.3 IPS |
|
|
Object Detection (SP)
|
100% |
6980
553.6 IPS |
|
|
Object Detection (HP)
|
100% |
5062
401.6 IPS |
|
|
Object Detection (Q)
|
89% |
9136
731.7 IPS |
|
|
Face Detection (SP)
|
100% |
18876
224.3 IPS |
|
|
Face Detection (HP)
|
100% |
14630
173.8 IPS |
|
|
Face Detection (Q)
|
100% |
28715
341.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
16840
129.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
18074
139.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
36056
280.5 IPS |
|
|
Style Transfer (SP)
|
100% |
44976
57.8 IPS |
|
|
Style Transfer (HP)
|
100% |
53900
69.3 IPS |
|
|
Style Transfer (Q)
|
98% |
93240
120.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9616
355.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12754
471.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21450
794.4 IPS |
|
|
Text Classification (SP)
|
100% |
4400
5.87 KIPS |
|
|
Text Classification (HP)
|
100% |
1367
1.82 KIPS |
|
|
Text Classification (Q)
|
92% |
1357
1.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
4150
71.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3320
57.2 IPS |
|
|
Machine Translation (Q)
|
100% |
3357
57.8 IPS |
