ASUS System Product Name
Geekbench AI Score
5433
Single Precision Score
1992
Half Precision Score
8645
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | linne |
| Upload Date | March 23 2025 11:19 PM |
| Views | 12 |
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. ProArt Z890-CREATOR WIFI |
| 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% |
4225
785.7 IPS |
|
|
Image Classification (HP)
|
100% |
674
125.3 IPS |
|
|
Image Classification (Q)
|
99% |
8620
1.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2249
36.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1180
19.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
4420
71.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
12011
14.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
5820
6.79 IPS |
|
|
Pose Estimation (Q)
|
94% |
33652
39.5 IPS |
|
|
Object Detection (SP)
|
100% |
2791
221.4 IPS |
|
|
Object Detection (HP)
|
100% |
825
65.4 IPS |
|
|
Object Detection (Q)
|
86% |
8198
658.8 IPS |
|
|
Face Detection (SP)
|
100% |
7347
87.3 IPS |
|
|
Face Detection (HP)
|
100% |
1953
23.2 IPS |
|
|
Face Detection (Q)
|
97% |
11690
139.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
14223
109.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2885
22.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
21489
171.5 IPS |
|
|
Style Transfer (SP)
|
100% |
27528
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
20125
25.9 IPS |
|
|
Style Transfer (Q)
|
98% |
27343
35.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4619
170.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2679
98.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6031
223.3 IPS |
|
|
Text Classification (SP)
|
100% |
1873
2.50 KIPS |
|
|
Text Classification (HP)
|
100% |
816
1.09 KIPS |
|
|
Text Classification (Q)
|
97% |
1519
2.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
2831
48.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1044
18.0 IPS |
|
|
Machine Translation (Q)
|
65% |
3528
70.9 IPS |
