ASUS System Product Name
Geekbench AI Score
36449
Single Precision Score
49853
Half Precision Score
27722
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | sebvance |
| Upload Date | March 17 2025 07:14 PM |
| Views | 10 |
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% |
13642
2.54 KIPS |
|
|
Image Classification (HP)
|
99% |
18282
3.41 KIPS |
|
|
Image Classification (Q)
|
100% |
11641
2.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21520
348.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
26200
424.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
19770
321.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
307525
358.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
510538
595.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
265809
311.4 IPS |
|
|
Object Detection (SP)
|
100% |
17841
1.42 KIPS |
|
|
Object Detection (HP)
|
100% |
22873
1.81 KIPS |
|
|
Object Detection (Q)
|
86% |
15048
1.21 KIPS |
|
|
Face Detection (SP)
|
100% |
49527
588.5 IPS |
|
|
Face Detection (HP)
|
100% |
61912
735.6 IPS |
|
|
Face Detection (Q)
|
97% |
42370
505.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
94180
725.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
155944
1.20 KIPS |
|
|
Depth Estimation (Q)
|
77% |
69030
552.1 IPS |
|
|
Style Transfer (SP)
|
100% |
537687
691.2 IPS |
|
|
Style Transfer (HP)
|
100% |
1038361
1.33 KIPS |
|
|
Style Transfer (Q)
|
98% |
457835
590.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
57747
2.13 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
76611
2.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42873
1.59 KIPS |
|
|
Text Classification (SP)
|
100% |
3530
4.71 KIPS |
|
|
Text Classification (HP)
|
99% |
4417
5.90 KIPS |
|
|
Text Classification (Q)
|
97% |
2061
2.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
5027
86.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4998
86.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2462
46.2 IPS |
