ASUS System Product Name
Geekbench AI Score
40652
Single Precision Score
58083
Half Precision Score
30616
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | alexb |
| Upload Date | August 23 2025 01:12 PM |
| Views | 6 |
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% |
14375
2.67 KIPS |
|
|
Image Classification (HP)
|
100% |
17437
3.24 KIPS |
|
|
Image Classification (Q)
|
100% |
11953
2.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
29954
485.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
36622
593.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
27383
445.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
373665
436.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
842073
982.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
304926
357.2 IPS |
|
|
Object Detection (SP)
|
100% |
18610
1.48 KIPS |
|
|
Object Detection (HP)
|
100% |
25174
2.00 KIPS |
|
|
Object Detection (Q)
|
85% |
16778
1.35 KIPS |
|
|
Face Detection (SP)
|
100% |
58019
689.4 IPS |
|
|
Face Detection (HP)
|
100% |
71391
848.3 IPS |
|
|
Face Detection (Q)
|
97% |
44844
534.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
96739
745.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
166806
1.29 KIPS |
|
|
Depth Estimation (Q)
|
77% |
71659
574.0 IPS |
|
|
Style Transfer (SP)
|
100% |
543696
698.9 IPS |
|
|
Style Transfer (HP)
|
100% |
1377836
1.77 KIPS |
|
|
Style Transfer (Q)
|
98% |
464484
598.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
64569
2.38 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
83165
3.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47776
1.77 KIPS |
|
|
Text Classification (SP)
|
100% |
3402
4.54 KIPS |
|
|
Text Classification (HP)
|
100% |
3971
5.30 KIPS |
|
|
Text Classification (Q)
|
97% |
2107
2.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
6142
105.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5958
102.6 IPS |
|
|
Machine Translation (Q)
|
70% |
2876
53.9 IPS |
