ASUS System Product Name
Geekbench AI Score
7871
Single Precision Score
2737
Half Precision Score
10874
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 28 2026 04:44 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 9 285K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME Z890-P WIFI |
| CPU Information | |
|---|---|
| Name | Intel Core 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6073
1.13 KIPS |
|
|
Image Classification (HP)
|
100% |
880
163.6 IPS |
|
|
Image Classification (Q)
|
99% |
10403
1.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3346
54.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1623
26.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
13814
224.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
17385
20.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
8812
10.3 IPS |
|
|
Pose Estimation (Q)
|
94% |
57770
67.7 IPS |
|
|
Object Detection (SP)
|
100% |
5822
461.8 IPS |
|
|
Object Detection (HP)
|
100% |
1243
98.6 IPS |
|
|
Object Detection (Q)
|
86% |
11004
884.3 IPS |
|
|
Face Detection (SP)
|
100% |
18052
214.5 IPS |
|
|
Face Detection (HP)
|
100% |
2662
31.6 IPS |
|
|
Face Detection (Q)
|
97% |
14427
172.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
18376
141.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3726
28.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
24730
197.3 IPS |
|
|
Style Transfer (SP)
|
100% |
38832
49.9 IPS |
|
|
Style Transfer (HP)
|
100% |
22602
29.1 IPS |
|
|
Style Transfer (Q)
|
98% |
34895
45.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5807
214.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3957
146.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8001
296.3 IPS |
|
|
Text Classification (SP)
|
100% |
1939
2.59 KIPS |
|
|
Text Classification (HP)
|
100% |
1105
1.47 KIPS |
|
|
Text Classification (Q)
|
97% |
699
935.8 IPS |
|
|
Machine Translation (SP)
|
100% |
3063
52.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1543
26.6 IPS |
|
|
Machine Translation (Q)
|
65% |
3635
73.0 IPS |
