ASUS System Product Name
Geekbench AI Score
45503
Single Precision Score
67838
Half Precision Score
33394
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 18 2025 09:05 AM |
| Views | 3 |
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-E GAMING 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
16355
3.04 KIPS |
|
|
Image Classification (HP)
|
100% |
21435
3.99 KIPS |
|
|
Image Classification (Q)
|
100% |
13997
2.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
34385
557.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
42906
695.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
31222
507.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
392358
457.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
962479
1.12 KIPS |
|
|
Pose Estimation (Q)
|
96% |
315483
369.5 IPS |
|
|
Object Detection (SP)
|
100% |
22407
1.78 KIPS |
|
|
Object Detection (HP)
|
100% |
28635
2.27 KIPS |
|
|
Object Detection (Q)
|
85% |
18661
1.50 KIPS |
|
|
Face Detection (SP)
|
100% |
68904
818.7 IPS |
|
|
Face Detection (HP)
|
100% |
88931
1.06 KIPS |
|
|
Face Detection (Q)
|
97% |
54448
649.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
100074
771.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
183793
1.42 KIPS |
|
|
Depth Estimation (Q)
|
77% |
73627
589.7 IPS |
|
|
Style Transfer (SP)
|
100% |
576713
741.4 IPS |
|
|
Style Transfer (HP)
|
100% |
1610223
2.07 KIPS |
|
|
Style Transfer (Q)
|
98% |
481729
621.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
67741
2.50 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
91343
3.37 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49551
1.83 KIPS |
|
|
Text Classification (SP)
|
100% |
4189
5.59 KIPS |
|
|
Text Classification (HP)
|
100% |
4939
6.59 KIPS |
|
|
Text Classification (Q)
|
97% |
2306
3.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
6821
117.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6859
118.2 IPS |
|
|
Machine Translation (Q)
|
70% |
3038
57.0 IPS |
