ASUS System Product Name
Geekbench AI Score
5871
Single Precision Score
9173
Half Precision Score
13765
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | October 13 2024 11:27 AM |
| Views | 4 |
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. TUF GAMING Z890-PLUS WIFI |
| Power Plan | 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4043
751.9 IPS |
|
|
Image Classification (HP)
|
100% |
6136
1.14 KIPS |
|
|
Image Classification (Q)
|
100% |
8085
1.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3720
60.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
8413
136.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
11708
189.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
12631
14.7 IPS |
|
|
Pose Estimation (HP)
|
99% |
11893
13.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
36849
43.1 IPS |
|
|
Object Detection (SP)
|
100% |
3682
292.1 IPS |
|
|
Object Detection (HP)
|
100% |
5699
452.1 IPS |
|
|
Object Detection (Q)
|
88% |
9114
730.4 IPS |
|
|
Face Detection (SP)
|
100% |
7679
91.2 IPS |
|
|
Face Detection (HP)
|
100% |
15662
186.1 IPS |
|
|
Face Detection (Q)
|
100% |
25042
297.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
13049
100.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
22992
177.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
26490
205.9 IPS |
|
|
Style Transfer (SP)
|
100% |
31233
40.2 IPS |
|
|
Style Transfer (HP)
|
100% |
43748
56.2 IPS |
|
|
Style Transfer (Q)
|
98% |
90032
116.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5469
202.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9799
361.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15456
572.4 IPS |
|
|
Text Classification (SP)
|
71% |
1914
2.77 KIPS |
|
|
Text Classification (HP)
|
71% |
2610
3.77 KIPS |
|
|
Text Classification (Q)
|
92% |
2808
3.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
2126
36.6 IPS |
|
|
Machine Translation (HP)
|
96% |
2995
51.8 IPS |
|
|
Machine Translation (Q)
|
100% |
2965
51.1 IPS |
