ASUS System Product Name
Geekbench AI Score
3597
Single Precision Score
1482
Half Precision Score
6652
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 01 2025 05:25 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-11700 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B560M-PLUS WIFI |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | Intel Core i7-11700 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 167 Stepping 1 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3269
607.9 IPS |
|
|
Image Classification (HP)
|
100% |
499
92.8 IPS |
|
|
Image Classification (Q)
|
99% |
7317
1.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1610
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
778
12.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2975
48.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5502
6.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
4680
5.46 IPS |
|
|
Pose Estimation (Q)
|
94% |
21375
25.1 IPS |
|
|
Object Detection (SP)
|
100% |
2914
231.1 IPS |
|
|
Object Detection (HP)
|
100% |
673
53.4 IPS |
|
|
Object Detection (Q)
|
86% |
6969
560.1 IPS |
|
|
Face Detection (SP)
|
100% |
4433
52.7 IPS |
|
|
Face Detection (HP)
|
100% |
1430
17.0 IPS |
|
|
Face Detection (Q)
|
97% |
8944
106.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7999
61.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2038
15.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
15466
123.4 IPS |
|
|
Style Transfer (SP)
|
100% |
14313
18.4 IPS |
|
|
Style Transfer (HP)
|
100% |
11179
14.4 IPS |
|
|
Style Transfer (Q)
|
98% |
21259
27.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2361
87.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2237
82.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3897
144.3 IPS |
|
|
Text Classification (SP)
|
100% |
1758
2.35 KIPS |
|
|
Text Classification (HP)
|
100% |
806
1.08 KIPS |
|
|
Text Classification (Q)
|
97% |
1515
2.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
2044
35.2 IPS |
|
|
Machine Translation (HP)
|
100% |
713
12.3 IPS |
|
|
Machine Translation (Q)
|
65% |
3015
60.6 IPS |
