ASUS System Product Name
Geekbench AI Score
2333
Single Precision Score
1208
Half Precision Score
4341
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | A-A-Afif |
| Upload Date | April 06 2025 07:24 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-12400 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B760M-PLUS WIFI D4 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12400 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 5 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1832
340.7 IPS |
|
|
Image Classification (HP)
|
100% |
476
88.5 IPS |
|
|
Image Classification (Q)
|
99% |
4711
878.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1143
18.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
769
12.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1961
31.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3019
3.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
2658
3.10 IPS |
|
|
Pose Estimation (Q)
|
94% |
12972
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1498
118.9 IPS |
|
|
Object Detection (HP)
|
100% |
597
47.3 IPS |
|
|
Object Detection (Q)
|
86% |
3938
316.5 IPS |
|
|
Face Detection (SP)
|
100% |
3728
44.3 IPS |
|
|
Face Detection (HP)
|
100% |
1347
16.0 IPS |
|
|
Face Detection (Q)
|
97% |
6476
77.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4276
32.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1715
13.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
10738
85.7 IPS |
|
|
Style Transfer (SP)
|
100% |
8077
10.4 IPS |
|
|
Style Transfer (HP)
|
100% |
6649
8.55 IPS |
|
|
Style Transfer (Q)
|
98% |
14974
19.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1650
60.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1465
54.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3412
126.4 IPS |
|
|
Text Classification (SP)
|
100% |
1326
1.77 KIPS |
|
|
Text Classification (HP)
|
100% |
733
977.8 IPS |
|
|
Text Classification (Q)
|
97% |
517
692.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1798
31.0 IPS |
|
|
Machine Translation (HP)
|
100% |
692
11.9 IPS |
|
|
Machine Translation (Q)
|
65% |
2742
55.1 IPS |
