ASUS System Product Name
Geekbench AI Score
4879
Single Precision Score
6736
Half Precision Score
3349
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | gakriston |
| Upload Date | August 27 2025 12:07 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z890 EXTREME |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2898
538.9 IPS |
|
|
Image Classification (HP)
|
100% |
4149
771.6 IPS |
|
|
Image Classification (Q)
|
99% |
2145
400.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3685
59.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5832
94.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2530
41.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9462
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
17212
20.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
8370
9.80 IPS |
|
|
Object Detection (SP)
|
100% |
3063
243.0 IPS |
|
|
Object Detection (HP)
|
100% |
4772
378.5 IPS |
|
|
Object Detection (Q)
|
86% |
2307
185.4 IPS |
|
|
Face Detection (SP)
|
100% |
6554
77.9 IPS |
|
|
Face Detection (HP)
|
100% |
10152
120.6 IPS |
|
|
Face Detection (Q)
|
97% |
4257
50.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9851
75.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
16464
127.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
7428
59.5 IPS |
|
|
Style Transfer (SP)
|
100% |
25588
32.9 IPS |
|
|
Style Transfer (HP)
|
100% |
42420
54.5 IPS |
|
|
Style Transfer (Q)
|
98% |
20818
26.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4919
181.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7739
285.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3384
125.3 IPS |
|
|
Text Classification (SP)
|
100% |
1197
1.60 KIPS |
|
|
Text Classification (HP)
|
100% |
656
875.1 IPS |
|
|
Text Classification (Q)
|
97% |
704
942.9 IPS |
|
|
Machine Translation (SP)
|
100% |
2543
43.8 IPS |
|
|
Machine Translation (HP)
|
96% |
2690
46.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1083
20.3 IPS |
