ASUS System Product Name
Geekbench AI Score
36321
Single Precision Score
49837
Half Precision Score
27787
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | sebvance |
| Upload Date | March 17 2025 07:10 PM |
| Views | 8 |
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% |
13539
2.52 KIPS |
|
|
Image Classification (HP)
|
99% |
17908
3.34 KIPS |
|
|
Image Classification (Q)
|
100% |
11662
2.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21618
350.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
26208
424.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
19748
321.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
307602
358.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
513484
599.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
265512
311.1 IPS |
|
|
Object Detection (SP)
|
100% |
17823
1.41 KIPS |
|
|
Object Detection (HP)
|
100% |
22994
1.82 KIPS |
|
|
Object Detection (Q)
|
86% |
15057
1.21 KIPS |
|
|
Face Detection (SP)
|
100% |
49349
586.4 IPS |
|
|
Face Detection (HP)
|
100% |
62432
741.8 IPS |
|
|
Face Detection (Q)
|
97% |
42297
504.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
93479
720.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
155218
1.20 KIPS |
|
|
Depth Estimation (Q)
|
77% |
68837
550.6 IPS |
|
|
Style Transfer (SP)
|
100% |
536660
689.9 IPS |
|
|
Style Transfer (HP)
|
100% |
1025224
1.32 KIPS |
|
|
Style Transfer (Q)
|
98% |
456495
588.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
58136
2.15 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
79809
2.95 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43325
1.60 KIPS |
|
|
Text Classification (SP)
|
100% |
3455
4.61 KIPS |
|
|
Text Classification (HP)
|
99% |
4369
5.83 KIPS |
|
|
Text Classification (Q)
|
97% |
2099
2.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
5008
86.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4924
84.8 IPS |
|
|
Machine Translation (Q)
|
70% |
2466
46.2 IPS |
