ASUS System Product Name
Geekbench AI Score
6492
Single Precision Score
9883
Half Precision Score
15190
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 13 2025 05:44 PM |
| Views | 1 |
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. TUF GAMING Z890-PLUS WIFI |
| Power Plan | High 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3372
627.1 IPS |
|
|
Image Classification (HP)
|
100% |
7214
1.34 KIPS |
|
|
Image Classification (Q)
|
100% |
10093
1.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5971
96.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2860
46.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3566
57.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11713
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
34995
40.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
75335
88.2 IPS |
|
|
Object Detection (SP)
|
100% |
3387
268.6 IPS |
|
|
Object Detection (HP)
|
100% |
6034
478.6 IPS |
|
|
Object Detection (Q)
|
87% |
10070
808.2 IPS |
|
|
Face Detection (SP)
|
100% |
10392
123.5 IPS |
|
|
Face Detection (HP)
|
100% |
16698
198.4 IPS |
|
|
Face Detection (Q)
|
100% |
32881
390.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
10822
83.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
16910
130.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
32130
250.0 IPS |
|
|
Style Transfer (SP)
|
100% |
33299
42.8 IPS |
|
|
Style Transfer (HP)
|
100% |
49722
63.9 IPS |
|
|
Style Transfer (Q)
|
98% |
92129
118.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5581
206.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14189
523.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23790
881.0 IPS |
|
|
Text Classification (SP)
|
100% |
3055
4.08 KIPS |
|
|
Text Classification (HP)
|
100% |
2205
2.94 KIPS |
|
|
Text Classification (Q)
|
92% |
2202
2.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
2610
45.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4649
80.1 IPS |
|
|
Machine Translation (Q)
|
100% |
4700
81.0 IPS |
