ASUS System Product Name
Geekbench AI Score
9357
Single Precision Score
9785
Half Precision Score
14983
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 08 2025 01:29 PM |
| Views | 4 |
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. PRIME Z890-P WIFI |
| Power Plan | Ausbalanciert |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6084
1.13 KIPS |
|
|
Image Classification (HP)
|
100% |
6788
1.26 KIPS |
|
|
Image Classification (Q)
|
100% |
9881
1.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8230
133.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2830
45.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3551
57.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
14479
16.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
34900
40.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
74658
87.5 IPS |
|
|
Object Detection (SP)
|
100% |
5492
435.6 IPS |
|
|
Object Detection (HP)
|
100% |
6017
477.2 IPS |
|
|
Object Detection (Q)
|
87% |
9894
794.0 IPS |
|
|
Face Detection (SP)
|
100% |
15501
184.2 IPS |
|
|
Face Detection (HP)
|
100% |
17420
207.0 IPS |
|
|
Face Detection (Q)
|
100% |
33027
392.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
14407
111.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
17289
133.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
33220
258.5 IPS |
|
|
Style Transfer (SP)
|
100% |
40771
52.4 IPS |
|
|
Style Transfer (HP)
|
100% |
51246
65.9 IPS |
|
|
Style Transfer (Q)
|
98% |
92800
119.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8355
308.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14219
525.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23474
869.3 IPS |
|
|
Text Classification (SP)
|
100% |
4352
5.81 KIPS |
|
|
Text Classification (HP)
|
100% |
2071
2.76 KIPS |
|
|
Text Classification (Q)
|
92% |
2060
2.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
3906
67.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4392
75.7 IPS |
|
|
Machine Translation (Q)
|
100% |
4469
77.0 IPS |
