ASUS System Product Name
Geekbench AI Score
42379
Single Precision Score
62449
Half Precision Score
31686
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | alexb |
| Upload Date | August 23 2025 04:33 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% |
15501
2.88 KIPS |
|
|
Image Classification (HP)
|
100% |
19846
3.69 KIPS |
|
|
Image Classification (Q)
|
100% |
13021
2.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
30416
493.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
36792
596.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
27717
450.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
382771
446.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
904030
1.05 KIPS |
|
|
Pose Estimation (Q)
|
96% |
310576
363.8 IPS |
|
|
Object Detection (SP)
|
100% |
20560
1.63 KIPS |
|
|
Object Detection (HP)
|
100% |
25695
2.04 KIPS |
|
|
Object Detection (Q)
|
85% |
17488
1.41 KIPS |
|
|
Face Detection (SP)
|
100% |
59912
711.9 IPS |
|
|
Face Detection (HP)
|
100% |
76391
907.7 IPS |
|
|
Face Detection (Q)
|
97% |
48420
577.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
97331
749.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
175318
1.35 KIPS |
|
|
Depth Estimation (Q)
|
77% |
71601
573.5 IPS |
|
|
Style Transfer (SP)
|
100% |
549356
706.2 IPS |
|
|
Style Transfer (HP)
|
100% |
1486696
1.91 KIPS |
|
|
Style Transfer (Q)
|
98% |
469035
604.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
64368
2.38 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
87043
3.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47761
1.77 KIPS |
|
|
Text Classification (SP)
|
100% |
3865
5.16 KIPS |
|
|
Text Classification (HP)
|
100% |
4921
6.57 KIPS |
|
|
Text Classification (Q)
|
97% |
2268
3.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
6320
108.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6237
107.4 IPS |
|
|
Machine Translation (Q)
|
70% |
2955
55.4 IPS |
