ASUS System Product Name
Geekbench AI Score
39725
Single Precision Score
59505
Half Precision Score
29249
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | alexb |
| Upload Date | August 21 2025 03:38 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z890-I GAMING WIFI |
| 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 | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13295
2.47 KIPS |
|
|
Image Classification (HP)
|
100% |
17941
3.34 KIPS |
|
|
Image Classification (Q)
|
100% |
11735
2.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
31260
506.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
37995
615.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
27439
446.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
368418
429.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
846356
987.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
305511
357.9 IPS |
|
|
Object Detection (SP)
|
100% |
18735
1.49 KIPS |
|
|
Object Detection (HP)
|
100% |
24179
1.92 KIPS |
|
|
Object Detection (Q)
|
85% |
16531
1.33 KIPS |
|
|
Face Detection (SP)
|
100% |
57216
679.9 IPS |
|
|
Face Detection (HP)
|
100% |
74726
887.9 IPS |
|
|
Face Detection (Q)
|
97% |
47702
568.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
94371
727.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
169869
1.31 KIPS |
|
|
Depth Estimation (Q)
|
77% |
68097
545.4 IPS |
|
|
Style Transfer (SP)
|
100% |
531955
683.8 IPS |
|
|
Style Transfer (HP)
|
100% |
1447819
1.86 KIPS |
|
|
Style Transfer (Q)
|
98% |
450528
580.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
61250
2.26 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
84319
3.11 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46430
1.72 KIPS |
|
|
Text Classification (SP)
|
100% |
3541
4.73 KIPS |
|
|
Text Classification (HP)
|
100% |
4692
6.26 KIPS |
|
|
Text Classification (Q)
|
97% |
1930
2.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
5477
94.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5488
94.5 IPS |
|
|
Machine Translation (Q)
|
70% |
2149
40.3 IPS |
