ASUS System Product Name
Geekbench AI Score
5768
Single Precision Score
8883
Half Precision Score
13454
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 03 2024 09:36 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z890-F GAMING WIFI |
| Power Plan | Hchstleistung |
| 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% |
3968
738.0 IPS |
|
|
Image Classification (HP)
|
100% |
5930
1.10 KIPS |
|
|
Image Classification (Q)
|
100% |
7865
1.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3936
63.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
8258
133.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
11874
192.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
12162
14.2 IPS |
|
|
Pose Estimation (HP)
|
99% |
11404
13.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
33939
39.7 IPS |
|
|
Object Detection (SP)
|
100% |
3421
271.4 IPS |
|
|
Object Detection (HP)
|
100% |
5729
454.4 IPS |
|
|
Object Detection (Q)
|
88% |
9063
726.3 IPS |
|
|
Face Detection (SP)
|
100% |
8507
101.1 IPS |
|
|
Face Detection (HP)
|
100% |
16643
197.7 IPS |
|
|
Face Detection (Q)
|
100% |
25592
304.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
12680
97.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
21955
169.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
25813
200.6 IPS |
|
|
Style Transfer (SP)
|
100% |
30070
38.7 IPS |
|
|
Style Transfer (HP)
|
100% |
41682
53.6 IPS |
|
|
Style Transfer (Q)
|
98% |
83527
107.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5220
192.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8466
312.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14644
542.3 IPS |
|
|
Text Classification (SP)
|
71% |
1685
2.44 KIPS |
|
|
Text Classification (HP)
|
71% |
2450
3.54 KIPS |
|
|
Text Classification (Q)
|
92% |
2770
3.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
2199
37.9 IPS |
|
|
Machine Translation (HP)
|
96% |
3028
52.4 IPS |
|
|
Machine Translation (Q)
|
100% |
3023
52.1 IPS |
