ASUS System Product Name
Geekbench AI Score
6791
Single Precision Score
10165
Half Precision Score
14939
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | linne |
| Upload Date | March 25 2025 07:30 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| 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(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 | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3411
634.4 IPS |
|
|
Image Classification (HP)
|
100% |
7088
1.32 KIPS |
|
|
Image Classification (Q)
|
56% |
6363
1.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6095
98.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3021
49.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4003
64.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
12246
14.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
34692
40.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
75908
88.9 IPS |
|
|
Object Detection (SP)
|
100% |
3631
288.0 IPS |
|
|
Object Detection (HP)
|
100% |
6019
477.5 IPS |
|
|
Object Detection (Q)
|
87% |
10259
823.4 IPS |
|
|
Face Detection (SP)
|
100% |
11925
141.7 IPS |
|
|
Face Detection (HP)
|
100% |
17658
209.8 IPS |
|
|
Face Detection (Q)
|
100% |
29882
355.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
11279
86.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
20011
154.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
37061
288.4 IPS |
|
|
Style Transfer (SP)
|
100% |
33220
42.7 IPS |
|
|
Style Transfer (HP)
|
100% |
55411
71.2 IPS |
|
|
Style Transfer (Q)
|
98% |
102224
131.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5292
195.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14688
542.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
26587
984.6 IPS |
|
|
Text Classification (SP)
|
100% |
3023
4.04 KIPS |
|
|
Text Classification (HP)
|
100% |
1957
2.61 KIPS |
|
|
Text Classification (Q)
|
92% |
1971
2.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
3158
54.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4684
80.7 IPS |
|
|
Machine Translation (Q)
|
100% |
4706
81.1 IPS |
