ASUS System Product Name
Geekbench AI Score
36404
Single Precision Score
49775
Half Precision Score
27737
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | sebvance |
| Upload Date | March 17 2025 07:18 PM |
| Views | 7 |
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% |
13586
2.53 KIPS |
|
|
Image Classification (HP)
|
99% |
18074
3.37 KIPS |
|
|
Image Classification (Q)
|
100% |
11666
2.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21600
350.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
25999
421.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
19859
322.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
308580
360.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
510645
595.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
266832
312.6 IPS |
|
|
Object Detection (SP)
|
100% |
17721
1.41 KIPS |
|
|
Object Detection (HP)
|
100% |
22847
1.81 KIPS |
|
|
Object Detection (Q)
|
86% |
15069
1.21 KIPS |
|
|
Face Detection (SP)
|
100% |
49356
586.5 IPS |
|
|
Face Detection (HP)
|
100% |
61862
735.1 IPS |
|
|
Face Detection (Q)
|
97% |
42540
507.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
93721
722.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
156183
1.20 KIPS |
|
|
Depth Estimation (Q)
|
77% |
68707
549.5 IPS |
|
|
Style Transfer (SP)
|
100% |
535301
688.1 IPS |
|
|
Style Transfer (HP)
|
100% |
1038029
1.33 KIPS |
|
|
Style Transfer (Q)
|
98% |
455913
587.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
57477
2.12 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
77058
2.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42711
1.58 KIPS |
|
|
Text Classification (SP)
|
100% |
3572
4.77 KIPS |
|
|
Text Classification (HP)
|
99% |
4389
5.86 KIPS |
|
|
Text Classification (Q)
|
97% |
2063
2.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
5011
86.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5021
86.5 IPS |
|
|
Machine Translation (Q)
|
70% |
2465
46.2 IPS |
