ASUS System Product Name
Geekbench AI Score
36367
Single Precision Score
49689
Half Precision Score
27695
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | sebvance |
| Upload Date | March 17 2025 07:27 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% |
13570
2.52 KIPS |
|
|
Image Classification (HP)
|
99% |
18476
3.45 KIPS |
|
|
Image Classification (Q)
|
100% |
11733
2.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21616
350.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
26169
424.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
19747
321.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
307414
358.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
507431
592.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
265724
311.3 IPS |
|
|
Object Detection (SP)
|
100% |
17796
1.41 KIPS |
|
|
Object Detection (HP)
|
100% |
22475
1.78 KIPS |
|
|
Object Detection (Q)
|
86% |
14886
1.20 KIPS |
|
|
Face Detection (SP)
|
100% |
49390
586.9 IPS |
|
|
Face Detection (HP)
|
100% |
61900
735.5 IPS |
|
|
Face Detection (Q)
|
97% |
42287
504.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
93257
718.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
156215
1.20 KIPS |
|
|
Depth Estimation (Q)
|
77% |
68969
551.6 IPS |
|
|
Style Transfer (SP)
|
100% |
537706
691.2 IPS |
|
|
Style Transfer (HP)
|
100% |
1030766
1.33 KIPS |
|
|
Style Transfer (Q)
|
98% |
460811
594.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
57767
2.13 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
77710
2.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42292
1.57 KIPS |
|
|
Text Classification (SP)
|
100% |
3493
4.66 KIPS |
|
|
Text Classification (HP)
|
99% |
4333
5.78 KIPS |
|
|
Text Classification (Q)
|
97% |
2066
2.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
5046
86.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4958
85.4 IPS |
|
|
Machine Translation (Q)
|
70% |
2467
46.3 IPS |
