ASUS System Product Name
Geekbench AI Score
10522
Single Precision Score
2341
Half Precision Score
3585
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | SkatterBencher |
| Upload Date | April 27 2025 11:02 AM |
| Views | 7 |
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% |
6525
1.21 KIPS |
|
|
Image Classification (HP)
|
100% |
1669
310.4 IPS |
|
|
Image Classification (Q)
|
100% |
2405
447.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
9113
147.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
617
10.00 IPS |
|
|
Image Segmentation (Q)
|
99% |
760
12.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
16085
18.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
7435
8.68 IPS |
|
|
Pose Estimation (Q)
|
96% |
16160
18.9 IPS |
|
|
Object Detection (SP)
|
100% |
6849
543.3 IPS |
|
|
Object Detection (HP)
|
100% |
1351
107.2 IPS |
|
|
Object Detection (Q)
|
87% |
2287
183.6 IPS |
|
|
Face Detection (SP)
|
100% |
18894
224.5 IPS |
|
|
Face Detection (HP)
|
100% |
4090
48.6 IPS |
|
|
Face Detection (Q)
|
100% |
7973
94.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
16768
129.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
4540
35.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
8362
65.1 IPS |
|
|
Style Transfer (SP)
|
100% |
45279
58.2 IPS |
|
|
Style Transfer (HP)
|
100% |
13055
16.8 IPS |
|
|
Style Transfer (Q)
|
98% |
22340
28.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9679
357.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3149
116.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5431
201.1 IPS |
|
|
Text Classification (SP)
|
100% |
4352
5.81 KIPS |
|
|
Text Classification (HP)
|
100% |
575
767.5 IPS |
|
|
Text Classification (Q)
|
92% |
578
776.5 IPS |
|
|
Machine Translation (SP)
|
100% |
4206
72.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1090
18.8 IPS |
|
|
Machine Translation (Q)
|
100% |
1112
19.2 IPS |
