ASUS System Product Name
Geekbench AI Score
7348
Single Precision Score
2636
Half Precision Score
11914
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | September 01 2025 05:27 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z890 HERO |
| Power Plan | Hg prestanda |
| 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% |
5655
1.05 KIPS |
|
|
Image Classification (HP)
|
100% |
879
163.6 IPS |
|
|
Image Classification (Q)
|
99% |
9934
1.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3285
53.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1671
27.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
17947
291.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
15395
18.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
8031
9.37 IPS |
|
|
Pose Estimation (Q)
|
94% |
48351
56.7 IPS |
|
|
Object Detection (SP)
|
100% |
5440
431.5 IPS |
|
|
Object Detection (HP)
|
100% |
1156
91.7 IPS |
|
|
Object Detection (Q)
|
86% |
12004
964.7 IPS |
|
|
Face Detection (SP)
|
100% |
16681
198.2 IPS |
|
|
Face Detection (HP)
|
100% |
2551
30.3 IPS |
|
|
Face Detection (Q)
|
97% |
14138
168.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
16888
130.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3683
28.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
23784
189.8 IPS |
|
|
Style Transfer (SP)
|
100% |
34853
44.8 IPS |
|
|
Style Transfer (HP)
|
100% |
20596
26.5 IPS |
|
|
Style Transfer (Q)
|
98% |
33643
43.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5086
187.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3643
134.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7686
284.6 IPS |
|
|
Text Classification (SP)
|
100% |
1913
2.55 KIPS |
|
|
Text Classification (HP)
|
100% |
1133
1.51 KIPS |
|
|
Text Classification (Q)
|
97% |
1662
2.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
3091
53.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1489
25.7 IPS |
|
|
Machine Translation (Q)
|
65% |
3855
77.5 IPS |
