ASUS System Product Name
Geekbench AI Score
36380
Single Precision Score
49658
Half Precision Score
27772
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | sebvance |
| Upload Date | March 17 2025 07:11 PM |
| Views | 16 |
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% |
13565
2.52 KIPS |
|
|
Image Classification (HP)
|
99% |
18100
3.38 KIPS |
|
|
Image Classification (Q)
|
100% |
11657
2.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21529
349.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
26086
422.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
19707
320.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
308833
360.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
506684
591.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
266139
311.8 IPS |
|
|
Object Detection (SP)
|
100% |
17635
1.40 KIPS |
|
|
Object Detection (HP)
|
100% |
22530
1.79 KIPS |
|
|
Object Detection (Q)
|
86% |
15038
1.21 KIPS |
|
|
Face Detection (SP)
|
100% |
49337
586.2 IPS |
|
|
Face Detection (HP)
|
100% |
61879
735.3 IPS |
|
|
Face Detection (Q)
|
97% |
42475
506.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
93608
721.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
156301
1.20 KIPS |
|
|
Depth Estimation (Q)
|
77% |
68883
550.9 IPS |
|
|
Style Transfer (SP)
|
100% |
535802
688.8 IPS |
|
|
Style Transfer (HP)
|
100% |
1033231
1.33 KIPS |
|
|
Style Transfer (Q)
|
98% |
461016
594.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
58154
2.15 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
78776
2.91 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42847
1.59 KIPS |
|
|
Text Classification (SP)
|
100% |
3508
4.68 KIPS |
|
|
Text Classification (HP)
|
99% |
4354
5.81 KIPS |
|
|
Text Classification (Q)
|
97% |
2090
2.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
5059
87.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4936
85.0 IPS |
|
|
Machine Translation (Q)
|
70% |
2458
46.1 IPS |
