ASUS System Product Name
Geekbench AI Score
7486
Single Precision Score
2761
Half Precision Score
12197
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | jrybolt |
| Upload Date | February 09 2026 03:07 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core 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 | Balanced |
| 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5839
1.09 KIPS |
|
|
Image Classification (HP)
|
100% |
806
150.0 IPS |
|
|
Image Classification (Q)
|
99% |
9751
1.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2729
44.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1710
27.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
17655
287.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
16485
19.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
8799
10.3 IPS |
|
|
Pose Estimation (Q)
|
94% |
52199
61.2 IPS |
|
|
Object Detection (SP)
|
100% |
5548
440.0 IPS |
|
|
Object Detection (HP)
|
100% |
1262
100.1 IPS |
|
|
Object Detection (Q)
|
86% |
12619
1.01 KIPS |
|
|
Face Detection (SP)
|
100% |
16780
199.4 IPS |
|
|
Face Detection (HP)
|
100% |
2787
33.1 IPS |
|
|
Face Detection (Q)
|
97% |
14477
172.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
17347
133.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3806
29.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
25176
200.9 IPS |
|
|
Style Transfer (SP)
|
100% |
34329
44.1 IPS |
|
|
Style Transfer (HP)
|
100% |
22284
28.6 IPS |
|
|
Style Transfer (Q)
|
98% |
31962
41.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5849
216.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3893
143.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7393
273.8 IPS |
|
|
Text Classification (SP)
|
100% |
1964
2.62 KIPS |
|
|
Text Classification (HP)
|
100% |
1123
1.50 KIPS |
|
|
Text Classification (Q)
|
97% |
1709
2.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
3307
57.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1632
28.1 IPS |
|
|
Machine Translation (Q)
|
65% |
4369
87.8 IPS |
