ASUS System Product Name
Geekbench AI Score
2216
Single Precision Score
1053
Half Precision Score
4081
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 10 2025 06:43 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-11400F |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B560-PLUS WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-11400F |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 167 Stepping 1 |
| Base Frequency | 2.59 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2310
429.6 IPS |
|
|
Image Classification (HP)
|
100% |
479
89.2 IPS |
|
|
Image Classification (Q)
|
99% |
6023
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1232
20.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
683
11.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2195
35.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3511
4.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
2727
3.18 IPS |
|
|
Pose Estimation (Q)
|
94% |
13032
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1367
108.4 IPS |
|
|
Object Detection (HP)
|
100% |
441
34.9 IPS |
|
|
Object Detection (Q)
|
86% |
3757
302.0 IPS |
|
|
Face Detection (SP)
|
100% |
2698
32.1 IPS |
|
|
Face Detection (HP)
|
100% |
979
11.6 IPS |
|
|
Face Detection (Q)
|
97% |
6053
72.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4187
32.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1472
11.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
9838
78.5 IPS |
|
|
Style Transfer (SP)
|
100% |
7886
10.1 IPS |
|
|
Style Transfer (HP)
|
100% |
6528
8.39 IPS |
|
|
Style Transfer (Q)
|
98% |
13600
17.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1430
52.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1293
47.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2954
109.4 IPS |
|
|
Text Classification (SP)
|
100% |
1191
1.59 KIPS |
|
|
Text Classification (HP)
|
100% |
640
854.3 IPS |
|
|
Text Classification (Q)
|
97% |
430
575.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1383
23.8 IPS |
|
|
Machine Translation (HP)
|
100% |
549
9.47 IPS |
|
|
Machine Translation (Q)
|
65% |
1929
38.8 IPS |
