ASUS System Product Name
Geekbench AI Score
6469
Single Precision Score
2371
Half Precision Score
10935
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | knownothings |
| Upload Date | January 11 2026 02:05 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. ProArt Z890-CREATOR 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% |
5210
968.8 IPS |
|
|
Image Classification (HP)
|
100% |
818
152.1 IPS |
|
|
Image Classification (Q)
|
99% |
9505
1.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2346
38.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1492
24.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
17432
283.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
13675
16.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
6759
7.89 IPS |
|
|
Pose Estimation (Q)
|
94% |
42572
49.9 IPS |
|
|
Object Detection (SP)
|
100% |
4445
352.6 IPS |
|
|
Object Detection (HP)
|
100% |
1132
89.8 IPS |
|
|
Object Detection (Q)
|
86% |
11339
911.3 IPS |
|
|
Face Detection (SP)
|
100% |
15781
187.5 IPS |
|
|
Face Detection (HP)
|
100% |
2528
30.0 IPS |
|
|
Face Detection (Q)
|
97% |
13389
159.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
14544
112.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3125
24.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
24263
193.6 IPS |
|
|
Style Transfer (SP)
|
100% |
31693
40.7 IPS |
|
|
Style Transfer (HP)
|
100% |
18920
24.3 IPS |
|
|
Style Transfer (Q)
|
98% |
25856
33.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4590
169.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3309
122.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6464
239.4 IPS |
|
|
Text Classification (SP)
|
100% |
1820
2.43 KIPS |
|
|
Text Classification (HP)
|
100% |
875
1.17 KIPS |
|
|
Text Classification (Q)
|
97% |
1564
2.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
2843
49.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1392
24.0 IPS |
|
|
Machine Translation (Q)
|
65% |
3600
72.3 IPS |
