ASUS System Product Name
Geekbench AI Score
7134
Single Precision Score
2779
Half Precision Score
12334
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | Majki77 |
| Upload Date | February 23 2026 08:30 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 | Ultimate Performance |
| 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% |
5398
1.00 KIPS |
|
|
Image Classification (HP)
|
100% |
939
174.7 IPS |
|
|
Image Classification (Q)
|
99% |
10184
1.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2667
43.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1686
27.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
18013
292.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
17235
20.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
8755
10.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
55444
65.0 IPS |
|
|
Object Detection (SP)
|
100% |
4925
390.6 IPS |
|
|
Object Detection (HP)
|
100% |
1219
96.7 IPS |
|
|
Object Detection (Q)
|
86% |
11367
913.5 IPS |
|
|
Face Detection (SP)
|
100% |
13219
157.1 IPS |
|
|
Face Detection (HP)
|
100% |
2756
32.7 IPS |
|
|
Face Detection (Q)
|
97% |
14416
171.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
15656
120.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3774
29.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
26747
213.4 IPS |
|
|
Style Transfer (SP)
|
100% |
36744
47.2 IPS |
|
|
Style Transfer (HP)
|
100% |
22353
28.7 IPS |
|
|
Style Transfer (Q)
|
98% |
34226
44.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5881
217.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3839
141.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6747
249.8 IPS |
|
|
Text Classification (SP)
|
100% |
1921
2.56 KIPS |
|
|
Text Classification (HP)
|
100% |
1117
1.49 KIPS |
|
|
Text Classification (Q)
|
97% |
1709
2.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
3255
56.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1635
28.2 IPS |
|
|
Machine Translation (Q)
|
65% |
4635
93.1 IPS |
