ASUS System Product Name
Geekbench AI Score
7483
Single Precision Score
2744
Half Precision Score
12422
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | Majki77 |
| Upload Date | February 19 2026 04:05 PM |
| Views | 9 |
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. ROG MAXIMUS Z890 APEX |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5715
1.06 KIPS |
|
|
Image Classification (HP)
|
100% |
921
171.3 IPS |
|
|
Image Classification (Q)
|
99% |
9865
1.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2784
45.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1720
27.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
18348
298.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
16193
18.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
8495
9.91 IPS |
|
|
Pose Estimation (Q)
|
94% |
54018
63.3 IPS |
|
|
Object Detection (SP)
|
100% |
5488
435.3 IPS |
|
|
Object Detection (HP)
|
100% |
1234
97.9 IPS |
|
|
Object Detection (Q)
|
86% |
12728
1.02 KIPS |
|
|
Face Detection (SP)
|
100% |
16552
196.7 IPS |
|
|
Face Detection (HP)
|
100% |
2787
33.1 IPS |
|
|
Face Detection (Q)
|
97% |
14518
173.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
16819
129.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3695
28.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
27344
218.2 IPS |
|
|
Style Transfer (SP)
|
100% |
38084
49.0 IPS |
|
|
Style Transfer (HP)
|
100% |
20979
27.0 IPS |
|
|
Style Transfer (Q)
|
98% |
31778
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5859
216.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3797
140.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7631
282.6 IPS |
|
|
Text Classification (SP)
|
100% |
1973
2.63 KIPS |
|
|
Text Classification (HP)
|
100% |
1099
1.47 KIPS |
|
|
Text Classification (Q)
|
97% |
1652
2.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
3177
54.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1617
27.9 IPS |
|
|
Machine Translation (Q)
|
65% |
4423
88.9 IPS |
