ASUS System Product Name
Geekbench AI Score
10522
Single Precision Score
8750
Half Precision Score
13634
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | SkatterBencher |
| Upload Date | April 12 2025 04:20 AM |
| Views | 6 |
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% |
6398
1.19 KIPS |
|
|
Image Classification (HP)
|
100% |
6946
1.29 KIPS |
|
|
Image Classification (Q)
|
100% |
10147
1.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9094
147.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2701
43.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3622
58.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
16074
18.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
33707
39.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
72497
84.9 IPS |
|
|
Object Detection (SP)
|
100% |
6901
547.4 IPS |
|
|
Object Detection (HP)
|
100% |
5028
398.8 IPS |
|
|
Object Detection (Q)
|
89% |
9078
727.1 IPS |
|
|
Face Detection (SP)
|
100% |
18681
222.0 IPS |
|
|
Face Detection (HP)
|
100% |
14682
174.5 IPS |
|
|
Face Detection (Q)
|
100% |
28852
342.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
16654
128.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
17982
138.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
35600
277.0 IPS |
|
|
Style Transfer (SP)
|
100% |
44599
57.3 IPS |
|
|
Style Transfer (HP)
|
100% |
53983
69.4 IPS |
|
|
Style Transfer (Q)
|
98% |
94024
121.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9564
353.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12766
471.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21095
781.2 IPS |
|
|
Text Classification (SP)
|
100% |
4391
5.86 KIPS |
|
|
Text Classification (HP)
|
100% |
1364
1.82 KIPS |
|
|
Text Classification (Q)
|
92% |
1355
1.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
4426
76.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3334
57.4 IPS |
|
|
Machine Translation (Q)
|
100% |
3326
57.3 IPS |
