ASUS System Product Name
Geekbench AI Score
3445
Single Precision Score
3500
Half Precision Score
4458
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | qcpi069 |
| Upload Date | April 07 2025 10:25 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 3700X 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING A520M-PLUS WIFI |
| Power Plan | AMD Ryzen High Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 3700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2116
393.5 IPS |
|
|
Image Classification (HP)
|
100% |
2099
390.3 IPS |
|
|
Image Classification (Q)
|
100% |
3007
559.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1134
18.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1137
18.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3718
60.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5958
6.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
5974
6.97 IPS |
|
|
Pose Estimation (Q)
|
94% |
7111
8.34 IPS |
|
|
Object Detection (SP)
|
100% |
1992
158.0 IPS |
|
|
Object Detection (HP)
|
100% |
1982
157.2 IPS |
|
|
Object Detection (Q)
|
87% |
2981
239.1 IPS |
|
|
Face Detection (SP)
|
100% |
4873
57.9 IPS |
|
|
Face Detection (HP)
|
100% |
4954
58.9 IPS |
|
|
Face Detection (Q)
|
97% |
9602
114.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4922
37.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
5525
42.6 IPS |
|
|
Depth Estimation (Q)
|
81% |
7911
62.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16754
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
16659
21.4 IPS |
|
|
Style Transfer (Q)
|
98% |
20277
26.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3377
124.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3382
124.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4061
150.4 IPS |
|
|
Text Classification (SP)
|
100% |
2023
2.70 KIPS |
|
|
Text Classification (HP)
|
100% |
2093
2.79 KIPS |
|
|
Text Classification (Q)
|
91% |
718
964.4 IPS |
|
|
Machine Translation (SP)
|
100% |
3020
52.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3033
52.2 IPS |
|
|
Machine Translation (Q)
|
100% |
2917
50.3 IPS |
