ASUS System Product Name
Geekbench AI Score
6652
Single Precision Score
2518
Half Precision Score
11341
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | ScottG |
| Upload Date | April 18 2026 01:15 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 9 285K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro Insider Preview (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z890-F GAMING 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5910
1.10 KIPS |
|
|
Image Classification (HP)
|
100% |
896
166.7 IPS |
|
|
Image Classification (Q)
|
99% |
10447
1.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2993
48.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1653
26.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
17573
285.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
15713
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
8038
9.38 IPS |
|
|
Pose Estimation (Q)
|
94% |
41624
48.8 IPS |
|
|
Object Detection (SP)
|
100% |
5165
409.7 IPS |
|
|
Object Detection (HP)
|
100% |
983
78.0 IPS |
|
|
Object Detection (Q)
|
86% |
11093
891.5 IPS |
|
|
Face Detection (SP)
|
100% |
14641
174.0 IPS |
|
|
Face Detection (HP)
|
100% |
2578
30.6 IPS |
|
|
Face Detection (Q)
|
97% |
14026
167.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9012
69.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3499
27.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
24433
195.0 IPS |
|
|
Style Transfer (SP)
|
100% |
36446
46.9 IPS |
|
|
Style Transfer (HP)
|
100% |
20177
25.9 IPS |
|
|
Style Transfer (Q)
|
98% |
25287
32.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4373
161.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3470
128.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7744
286.8 IPS |
|
|
Text Classification (SP)
|
100% |
1829
2.44 KIPS |
|
|
Text Classification (HP)
|
100% |
975
1.30 KIPS |
|
|
Text Classification (Q)
|
97% |
1608
2.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
3076
53.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1425
24.6 IPS |
|
|
Machine Translation (Q)
|
65% |
3851
77.4 IPS |
