Gigabyte Technology Co., Ltd. A520M S2H
Geekbench AI Score
3052
Single Precision Score
2986
Half Precision Score
3452
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | nwisecup |
| Upload Date | January 13 2025 12:34 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 3600 6-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. A520M S2H |
| Motherboard | Gigabyte Technology Co., Ltd. A520M S2H |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 3600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2022
376.0 IPS |
|
|
Image Classification (HP)
|
100% |
2061
383.2 IPS |
|
|
Image Classification (Q)
|
100% |
2144
398.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
984
16.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
955
15.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2632
42.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4793
5.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
4564
5.33 IPS |
|
|
Pose Estimation (Q)
|
94% |
5146
6.04 IPS |
|
|
Object Detection (SP)
|
100% |
1884
149.4 IPS |
|
|
Object Detection (HP)
|
100% |
1890
149.9 IPS |
|
|
Object Detection (Q)
|
87% |
2296
184.1 IPS |
|
|
Face Detection (SP)
|
100% |
4305
51.2 IPS |
|
|
Face Detection (HP)
|
100% |
4311
51.2 IPS |
|
|
Face Detection (Q)
|
97% |
7150
85.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5183
39.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
5130
39.5 IPS |
|
|
Depth Estimation (Q)
|
81% |
5953
47.0 IPS |
|
|
Style Transfer (SP)
|
100% |
13592
17.5 IPS |
|
|
Style Transfer (HP)
|
100% |
13607
17.5 IPS |
|
|
Style Transfer (Q)
|
98% |
14644
18.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2772
102.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2784
102.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3006
111.3 IPS |
|
|
Text Classification (SP)
|
100% |
1867
2.49 KIPS |
|
|
Text Classification (HP)
|
100% |
1812
2.42 KIPS |
|
|
Text Classification (Q)
|
91% |
777
1.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
2492
42.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2190
37.7 IPS |
|
|
Machine Translation (Q)
|
100% |
2481
42.7 IPS |
