ASUS System Product Name
Geekbench AI Score
36465
Single Precision Score
49636
Half Precision Score
27755
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | sebvance |
| Upload Date | March 17 2025 07:25 PM |
| Views | 10 |
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% |
13556
2.52 KIPS |
|
|
Image Classification (HP)
|
99% |
18231
3.40 KIPS |
|
|
Image Classification (Q)
|
100% |
11761
2.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21593
350.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
26185
424.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
19775
321.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
306326
357.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
511056
596.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
266144
311.8 IPS |
|
|
Object Detection (SP)
|
100% |
17795
1.41 KIPS |
|
|
Object Detection (HP)
|
100% |
22790
1.81 KIPS |
|
|
Object Detection (Q)
|
86% |
15035
1.21 KIPS |
|
|
Face Detection (SP)
|
100% |
49595
589.3 IPS |
|
|
Face Detection (HP)
|
100% |
61718
733.3 IPS |
|
|
Face Detection (Q)
|
97% |
42196
503.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
93765
722.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
155606
1.20 KIPS |
|
|
Depth Estimation (Q)
|
77% |
68829
550.5 IPS |
|
|
Style Transfer (SP)
|
100% |
534605
687.2 IPS |
|
|
Style Transfer (HP)
|
100% |
1036273
1.33 KIPS |
|
|
Style Transfer (Q)
|
98% |
455412
587.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
58279
2.15 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
76122
2.81 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42892
1.59 KIPS |
|
|
Text Classification (SP)
|
100% |
3513
4.69 KIPS |
|
|
Text Classification (HP)
|
99% |
4354
5.81 KIPS |
|
|
Text Classification (Q)
|
97% |
2086
2.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
5119
88.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4950
85.3 IPS |
|
|
Machine Translation (Q)
|
70% |
2464
46.2 IPS |
