ASUS System Product Name
Geekbench AI Score
7377
Single Precision Score
2462
Half Precision Score
11218
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 18 2025 06:25 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z890 EXTREME |
| 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% |
5536
1.03 KIPS |
|
|
Image Classification (HP)
|
100% |
837
155.7 IPS |
|
|
Image Classification (Q)
|
99% |
10419
1.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3241
52.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1598
25.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4900
79.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
15995
18.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
7943
9.27 IPS |
|
|
Pose Estimation (Q)
|
94% |
49345
57.9 IPS |
|
|
Object Detection (SP)
|
100% |
5338
423.4 IPS |
|
|
Object Detection (HP)
|
100% |
1064
84.4 IPS |
|
|
Object Detection (Q)
|
86% |
12532
1.01 KIPS |
|
|
Face Detection (SP)
|
100% |
15452
183.6 IPS |
|
|
Face Detection (HP)
|
100% |
2830
33.6 IPS |
|
|
Face Detection (Q)
|
97% |
13629
162.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
15560
119.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3498
27.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
27343
218.2 IPS |
|
|
Style Transfer (SP)
|
100% |
33220
42.7 IPS |
|
|
Style Transfer (HP)
|
100% |
19654
25.3 IPS |
|
|
Style Transfer (Q)
|
98% |
39578
51.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5681
209.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3419
126.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7480
277.0 IPS |
|
|
Text Classification (SP)
|
100% |
2066
2.76 KIPS |
|
|
Text Classification (HP)
|
100% |
1048
1.40 KIPS |
|
|
Text Classification (Q)
|
97% |
1747
2.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3324
57.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1041
17.9 IPS |
|
|
Machine Translation (Q)
|
65% |
5188
104.2 IPS |
