ASUS System Product Name
Geekbench AI Score
7280
Single Precision Score
2555
Half Precision Score
11838
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 08 2025 01:23 PM |
| Views | 5 |
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. PRIME Z890-P WIFI |
| Power Plan | Ausbalanciert |
| 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% |
5650
1.05 KIPS |
|
|
Image Classification (HP)
|
100% |
913
169.8 IPS |
|
|
Image Classification (Q)
|
99% |
10747
2.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2764
44.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1706
27.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
17119
278.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
15464
18.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
8475
9.89 IPS |
|
|
Pose Estimation (Q)
|
94% |
49929
58.5 IPS |
|
|
Object Detection (SP)
|
100% |
5369
425.8 IPS |
|
|
Object Detection (HP)
|
100% |
1247
98.9 IPS |
|
|
Object Detection (Q)
|
86% |
12734
1.02 KIPS |
|
|
Face Detection (SP)
|
100% |
16107
191.4 IPS |
|
|
Face Detection (HP)
|
100% |
2146
25.5 IPS |
|
|
Face Detection (Q)
|
97% |
14604
174.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
15849
122.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2969
22.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
25216
201.2 IPS |
|
|
Style Transfer (SP)
|
100% |
34018
43.7 IPS |
|
|
Style Transfer (HP)
|
100% |
21195
27.2 IPS |
|
|
Style Transfer (Q)
|
98% |
25039
32.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5824
215.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3099
114.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7577
280.6 IPS |
|
|
Text Classification (SP)
|
100% |
1924
2.57 KIPS |
|
|
Text Classification (HP)
|
100% |
1096
1.46 KIPS |
|
|
Text Classification (Q)
|
97% |
1735
2.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3318
57.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1573
27.1 IPS |
|
|
Machine Translation (Q)
|
65% |
3814
76.6 IPS |
