ASUS System Product Name
Geekbench AI Score
2600
Single Precision Score
1316
Half Precision Score
3960
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | doctoriwt |
| Upload Date | March 23 2025 05:13 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-11400F |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING H470-PRO |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1571
292.2 IPS |
|
|
Image Classification (HP)
|
100% |
446
83.0 IPS |
|
|
Image Classification (Q)
|
99% |
3333
621.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1307
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
759
12.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2567
41.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4996
5.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
3999
4.67 IPS |
|
|
Pose Estimation (Q)
|
95% |
17042
20.0 IPS |
|
|
Object Detection (SP)
|
100% |
1733
137.5 IPS |
|
|
Object Detection (HP)
|
100% |
590
46.8 IPS |
|
|
Object Detection (Q)
|
88% |
1923
154.2 IPS |
|
|
Face Detection (SP)
|
100% |
2020
24.0 IPS |
|
|
Face Detection (HP)
|
100% |
1240
14.7 IPS |
|
|
Face Detection (Q)
|
97% |
3741
44.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5476
42.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1844
14.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
6307
50.5 IPS |
|
|
Style Transfer (SP)
|
100% |
11961
15.4 IPS |
|
|
Style Transfer (HP)
|
100% |
9923
12.8 IPS |
|
|
Style Transfer (Q)
|
98% |
15890
20.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2207
81.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1954
72.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3472
128.6 IPS |
|
|
Text Classification (SP)
|
100% |
1629
2.17 KIPS |
|
|
Text Classification (HP)
|
100% |
716
955.6 IPS |
|
|
Text Classification (Q)
|
97% |
1417
1.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
1670
28.8 IPS |
|
|
Machine Translation (HP)
|
100% |
617
10.6 IPS |
|
|
Machine Translation (Q)
|
60% |
1838
41.0 IPS |
