ASUS System Product Name
Geekbench AI Score
2805
Single Precision Score
1302
Half Precision Score
5184
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | terapeut |
| Upload Date | February 06 2025 08:35 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-11700F |
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B560M-PLUS WIFI |
| CPU Information | |
|---|---|
| Name | Intel Core i7-11700F |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2401
446.4 IPS |
|
|
Image Classification (HP)
|
100% |
483
89.9 IPS |
|
|
Image Classification (Q)
|
99% |
6361
1.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1269
20.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
717
11.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2188
35.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4312
5.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
3685
4.30 IPS |
|
|
Pose Estimation (Q)
|
94% |
19920
23.4 IPS |
|
|
Object Detection (SP)
|
100% |
2015
159.9 IPS |
|
|
Object Detection (HP)
|
100% |
599
47.5 IPS |
|
|
Object Detection (Q)
|
86% |
5020
403.4 IPS |
|
|
Face Detection (SP)
|
100% |
3887
46.2 IPS |
|
|
Face Detection (HP)
|
100% |
1287
15.3 IPS |
|
|
Face Detection (Q)
|
97% |
7912
94.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5779
44.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1844
14.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
14316
114.2 IPS |
|
|
Style Transfer (SP)
|
100% |
10545
13.6 IPS |
|
|
Style Transfer (HP)
|
100% |
9051
11.6 IPS |
|
|
Style Transfer (Q)
|
98% |
20208
26.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1933
71.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1678
62.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3577
132.5 IPS |
|
|
Text Classification (SP)
|
100% |
1435
1.92 KIPS |
|
|
Text Classification (HP)
|
100% |
766
1.02 KIPS |
|
|
Text Classification (Q)
|
97% |
545
730.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1739
30.0 IPS |
|
|
Machine Translation (HP)
|
100% |
666
11.5 IPS |
|
|
Machine Translation (Q)
|
65% |
2261
45.4 IPS |
