ASUS System Product Name
Geekbench AI Score
5556
Single Precision Score
5689
Half Precision Score
13715
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 08 2025 03:20 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) i9-12900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME Z790-P WIFI D4 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-12900K |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4079
758.6 IPS |
|
|
Image Classification (HP)
|
100% |
3993
742.6 IPS |
|
|
Image Classification (Q)
|
100% |
8296
1.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4694
76.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4604
74.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
8515
138.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7624
8.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
7604
8.87 IPS |
|
|
Pose Estimation (Q)
|
96% |
26495
31.0 IPS |
|
|
Object Detection (SP)
|
100% |
2138
169.6 IPS |
|
|
Object Detection (HP)
|
100% |
2023
160.4 IPS |
|
|
Object Detection (Q)
|
88% |
8882
712.0 IPS |
|
|
Face Detection (SP)
|
100% |
5424
64.5 IPS |
|
|
Face Detection (HP)
|
100% |
8175
97.1 IPS |
|
|
Face Detection (Q)
|
100% |
21022
249.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9530
73.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
9184
70.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
23151
180.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22002
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
22249
28.6 IPS |
|
|
Style Transfer (Q)
|
98% |
80100
103.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4644
171.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4832
178.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15565
576.4 IPS |
|
|
Text Classification (SP)
|
100% |
3778
5.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3721
4.97 KIPS |
|
|
Text Classification (Q)
|
92% |
5450
7.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
4503
77.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4185
72.1 IPS |
|
|
Machine Translation (Q)
|
100% |
4285
73.8 IPS |
