ASUS System Product Name
Geekbench AI Score
8662
Single Precision Score
9099
Half Precision Score
13937
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | dmichaels11 |
| Upload Date | January 09 2025 01:10 AM |
| 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. ROG STRIX Z890-A GAMING WIFI |
| Power Plan | GameTurbo (High Performance) |
| 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% |
5700
1.06 KIPS |
|
|
Image Classification (HP)
|
100% |
6885
1.28 KIPS |
|
|
Image Classification (Q)
|
100% |
9635
1.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6225
100.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2673
43.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3555
57.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
14148
16.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
33318
38.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
71487
83.7 IPS |
|
|
Object Detection (SP)
|
100% |
4724
374.7 IPS |
|
|
Object Detection (HP)
|
100% |
5483
434.9 IPS |
|
|
Object Detection (Q)
|
87% |
8875
712.3 IPS |
|
|
Face Detection (SP)
|
100% |
13452
159.8 IPS |
|
|
Face Detection (HP)
|
100% |
14233
169.1 IPS |
|
|
Face Detection (Q)
|
100% |
23826
283.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
13964
107.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
16531
127.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
31330
243.8 IPS |
|
|
Style Transfer (SP)
|
100% |
42133
54.2 IPS |
|
|
Style Transfer (HP)
|
100% |
46882
60.3 IPS |
|
|
Style Transfer (Q)
|
98% |
87166
112.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8549
315.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14052
518.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25989
962.5 IPS |
|
|
Text Classification (SP)
|
100% |
4020
5.37 KIPS |
|
|
Text Classification (HP)
|
100% |
2278
3.04 KIPS |
|
|
Text Classification (Q)
|
92% |
2299
3.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
3689
63.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3279
56.5 IPS |
|
|
Machine Translation (Q)
|
100% |
3273
56.4 IPS |
