ASUS System Product Name
Geekbench AI Score
36451
Single Precision Score
49761
Half Precision Score
27826
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | sebvance |
| Upload Date | March 17 2025 07:20 PM |
| Views | 5 |
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% |
13584
2.53 KIPS |
|
|
Image Classification (HP)
|
99% |
18046
3.37 KIPS |
|
|
Image Classification (Q)
|
100% |
11660
2.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21694
351.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
26270
425.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
20015
325.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
306898
358.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
507810
592.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
266445
312.2 IPS |
|
|
Object Detection (SP)
|
100% |
17843
1.42 KIPS |
|
|
Object Detection (HP)
|
100% |
22586
1.79 KIPS |
|
|
Object Detection (Q)
|
86% |
15059
1.21 KIPS |
|
|
Face Detection (SP)
|
100% |
49550
588.8 IPS |
|
|
Face Detection (HP)
|
100% |
62049
737.3 IPS |
|
|
Face Detection (Q)
|
97% |
42059
501.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
92669
714.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
155425
1.20 KIPS |
|
|
Depth Estimation (Q)
|
77% |
68567
548.4 IPS |
|
|
Style Transfer (SP)
|
100% |
534546
687.2 IPS |
|
|
Style Transfer (HP)
|
100% |
1028545
1.32 KIPS |
|
|
Style Transfer (Q)
|
98% |
459865
593.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
58313
2.15 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
80245
2.96 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43445
1.61 KIPS |
|
|
Text Classification (SP)
|
100% |
3572
4.77 KIPS |
|
|
Text Classification (HP)
|
99% |
4400
5.87 KIPS |
|
|
Text Classification (Q)
|
97% |
2080
2.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
5020
86.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4889
84.2 IPS |
|
|
Machine Translation (Q)
|
70% |
2480
46.5 IPS |
