ASUS System Product Name
Geekbench AI Score
9716
Single Precision Score
9642
Half Precision Score
15184
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | alexb |
| Upload Date | July 02 2025 12:31 PM |
| Views | 8 |
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. ROG STRIX Z890-I GAMING 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% |
6105
1.14 KIPS |
|
|
Image Classification (HP)
|
100% |
7155
1.33 KIPS |
|
|
Image Classification (Q)
|
100% |
9803
1.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8280
134.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2849
46.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3529
57.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
15010
17.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
34784
40.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
74461
87.2 IPS |
|
|
Object Detection (SP)
|
100% |
5983
474.6 IPS |
|
|
Object Detection (HP)
|
100% |
5675
450.1 IPS |
|
|
Object Detection (Q)
|
88% |
10334
828.5 IPS |
|
|
Face Detection (SP)
|
100% |
16767
199.2 IPS |
|
|
Face Detection (HP)
|
100% |
15794
187.7 IPS |
|
|
Face Detection (Q)
|
100% |
30788
365.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
14897
114.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
17071
131.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
32042
249.3 IPS |
|
|
Style Transfer (SP)
|
100% |
42517
54.7 IPS |
|
|
Style Transfer (HP)
|
100% |
50969
65.5 IPS |
|
|
Style Transfer (Q)
|
98% |
93087
120.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9047
334.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16115
595.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
30295
1.12 KIPS |
|
|
Text Classification (SP)
|
100% |
4382
5.85 KIPS |
|
|
Text Classification (HP)
|
100% |
1889
2.52 KIPS |
|
|
Text Classification (Q)
|
92% |
2019
2.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
3925
67.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4127
71.1 IPS |
|
|
Machine Translation (Q)
|
100% |
4358
75.1 IPS |
