ASUS System Product Name
Geekbench AI Score
36375
Single Precision Score
49760
Half Precision Score
27759
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | sebvance |
| Upload Date | March 17 2025 07:22 PM |
| Views | 17 |
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% |
13675
2.54 KIPS |
|
|
Image Classification (HP)
|
99% |
18048
3.37 KIPS |
|
|
Image Classification (Q)
|
100% |
11638
2.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21581
349.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
26129
423.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
19955
324.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
307060
358.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
510447
595.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
265464
311.0 IPS |
|
|
Object Detection (SP)
|
100% |
17718
1.41 KIPS |
|
|
Object Detection (HP)
|
100% |
22862
1.81 KIPS |
|
|
Object Detection (Q)
|
86% |
15057
1.21 KIPS |
|
|
Face Detection (SP)
|
100% |
49221
584.9 IPS |
|
|
Face Detection (HP)
|
100% |
61950
736.1 IPS |
|
|
Face Detection (Q)
|
97% |
42213
503.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
92829
715.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
156036
1.20 KIPS |
|
|
Depth Estimation (Q)
|
77% |
68750
549.9 IPS |
|
|
Style Transfer (SP)
|
100% |
535998
689.0 IPS |
|
|
Style Transfer (HP)
|
100% |
1039972
1.34 KIPS |
|
|
Style Transfer (Q)
|
98% |
456740
589.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
57960
2.14 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
78145
2.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42632
1.58 KIPS |
|
|
Text Classification (SP)
|
100% |
3530
4.71 KIPS |
|
|
Text Classification (HP)
|
99% |
4325
5.77 KIPS |
|
|
Text Classification (Q)
|
97% |
2086
2.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
5042
86.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4978
85.8 IPS |
|
|
Machine Translation (Q)
|
70% |
2483
46.6 IPS |
