ASUS System Product Name
Geekbench AI Score
9430
Single Precision Score
10386
Half Precision Score
15852
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 17 2025 11:04 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING Z890-PRO WIFI |
| Power Plan | Vyven |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) 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% |
5807
1.08 KIPS |
|
|
Image Classification (HP)
|
100% |
7300
1.36 KIPS |
|
|
Image Classification (Q)
|
100% |
10301
1.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8155
132.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2885
46.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3612
58.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
14771
17.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
35477
41.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
76831
90.0 IPS |
|
|
Object Detection (SP)
|
100% |
5686
451.0 IPS |
|
|
Object Detection (HP)
|
100% |
6212
492.7 IPS |
|
|
Object Detection (Q)
|
87% |
10202
818.8 IPS |
|
|
Face Detection (SP)
|
100% |
16260
193.2 IPS |
|
|
Face Detection (HP)
|
100% |
18546
220.4 IPS |
|
|
Face Detection (Q)
|
100% |
34764
413.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
14848
114.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
19352
149.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
35979
280.0 IPS |
|
|
Style Transfer (SP)
|
100% |
41687
53.6 IPS |
|
|
Style Transfer (HP)
|
100% |
55882
71.8 IPS |
|
|
Style Transfer (Q)
|
98% |
102228
131.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8445
311.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14702
542.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24760
916.9 IPS |
|
|
Text Classification (SP)
|
100% |
4334
5.79 KIPS |
|
|
Text Classification (HP)
|
100% |
2262
3.02 KIPS |
|
|
Text Classification (Q)
|
92% |
2259
3.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
3796
65.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4718
81.3 IPS |
|
|
Machine Translation (Q)
|
100% |
4804
82.8 IPS |
