ASUS System Product Name
Geekbench AI Score
36390
Single Precision Score
49569
Half Precision Score
27647
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | sebvance |
| Upload Date | March 17 2025 07:08 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (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% |
13609
2.53 KIPS |
|
|
Image Classification (HP)
|
99% |
18076
3.37 KIPS |
|
|
Image Classification (Q)
|
100% |
11591
2.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21590
350.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
26078
422.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
19981
324.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
305897
356.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
505802
590.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
263920
309.2 IPS |
|
|
Object Detection (SP)
|
100% |
17852
1.42 KIPS |
|
|
Object Detection (HP)
|
100% |
22664
1.80 KIPS |
|
|
Object Detection (Q)
|
86% |
15043
1.21 KIPS |
|
|
Face Detection (SP)
|
100% |
49524
588.5 IPS |
|
|
Face Detection (HP)
|
100% |
62006
736.8 IPS |
|
|
Face Detection (Q)
|
97% |
42256
503.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
93187
717.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
155917
1.20 KIPS |
|
|
Depth Estimation (Q)
|
77% |
68969
551.6 IPS |
|
|
Style Transfer (SP)
|
100% |
542419
697.3 IPS |
|
|
Style Transfer (HP)
|
100% |
1028531
1.32 KIPS |
|
|
Style Transfer (Q)
|
98% |
455418
587.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
57490
2.12 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
78721
2.91 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41736
1.55 KIPS |
|
|
Text Classification (SP)
|
100% |
3498
4.67 KIPS |
|
|
Text Classification (HP)
|
99% |
4348
5.80 KIPS |
|
|
Text Classification (Q)
|
97% |
2085
2.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
5042
86.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4870
83.9 IPS |
|
|
Machine Translation (Q)
|
70% |
2457
46.1 IPS |
