ASUS System Product Name
Geekbench AI Score
3815
Single Precision Score
1629
Half Precision Score
6420
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | rdepalma |
| Upload Date | March 12 2025 07:38 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-12600KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING Z790-PLUS WIFI |
| Power Plan | Alto desempenho |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12600KF |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2967
551.7 IPS |
|
|
Image Classification (HP)
|
100% |
607
112.9 IPS |
|
|
Image Classification (Q)
|
99% |
5856
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1790
29.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1091
17.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3396
55.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6744
7.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
4508
5.26 IPS |
|
|
Pose Estimation (Q)
|
94% |
21658
25.4 IPS |
|
|
Object Detection (SP)
|
100% |
2753
218.3 IPS |
|
|
Object Detection (HP)
|
100% |
735
58.3 IPS |
|
|
Object Detection (Q)
|
86% |
5755
462.5 IPS |
|
|
Face Detection (SP)
|
100% |
5739
68.2 IPS |
|
|
Face Detection (HP)
|
100% |
1631
19.4 IPS |
|
|
Face Detection (Q)
|
97% |
9013
107.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8253
63.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2309
17.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
13196
105.3 IPS |
|
|
Style Transfer (SP)
|
100% |
14735
18.9 IPS |
|
|
Style Transfer (HP)
|
100% |
10944
14.1 IPS |
|
|
Style Transfer (Q)
|
98% |
17698
22.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2894
106.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2197
81.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4062
150.4 IPS |
|
|
Text Classification (SP)
|
100% |
1712
2.28 KIPS |
|
|
Text Classification (HP)
|
100% |
839
1.12 KIPS |
|
|
Text Classification (Q)
|
97% |
1887
2.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
1919
33.0 IPS |
|
|
Machine Translation (HP)
|
100% |
792
13.6 IPS |
|
|
Machine Translation (Q)
|
65% |
2976
59.8 IPS |
