ASUS System Product Name
Geekbench AI Score
4286
Single Precision Score
5987
Half Precision Score
3075
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | mnin |
| Upload Date | June 19 2025 10:11 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z890 HERO |
| Power Plan | Balanced |
| 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 | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3025
562.5 IPS |
|
|
Image Classification (HP)
|
100% |
3734
694.5 IPS |
|
|
Image Classification (Q)
|
99% |
2191
408.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2095
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
5648
91.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1693
27.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10163
11.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
16392
19.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
8855
10.4 IPS |
|
|
Object Detection (SP)
|
100% |
3002
238.2 IPS |
|
|
Object Detection (HP)
|
99% |
3890
309.4 IPS |
|
|
Object Detection (Q)
|
85% |
2345
188.7 IPS |
|
|
Face Detection (SP)
|
100% |
5751
68.3 IPS |
|
|
Face Detection (HP)
|
100% |
6377
75.8 IPS |
|
|
Face Detection (Q)
|
97% |
3900
46.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8660
66.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
14641
113.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
6581
52.7 IPS |
|
|
Style Transfer (SP)
|
100% |
26628
34.2 IPS |
|
|
Style Transfer (HP)
|
100% |
39929
51.3 IPS |
|
|
Style Transfer (Q)
|
98% |
20998
27.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4683
172.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7661
282.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3273
121.2 IPS |
|
|
Text Classification (SP)
|
86% |
732
989.7 IPS |
|
|
Text Classification (HP)
|
99% |
691
922.6 IPS |
|
|
Text Classification (Q)
|
84% |
569
772.7 IPS |
|
|
Machine Translation (SP)
|
100% |
2380
41.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2233
38.5 IPS |
|
|
Machine Translation (Q)
|
70% |
978
18.3 IPS |
