Gigabyte Technology Co., Ltd. B450M S2H
Geekbench AI Score
3134
Single Precision Score
3125
Half Precision Score
3317
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | kot-ubitsa |
| Upload Date | February 10 2025 10:45 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 3500X 6-Core Processor |
| System Information | |
|---|---|
| Operating System | Windows 10 LTSC (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B450M S2H |
| Motherboard | Gigabyte Technology Co., Ltd. B450M S2H |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 3500X |
| Topology | 1 Processor, 6 Cores |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.59 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1953
363.1 IPS |
|
|
Image Classification (HP)
|
100% |
1900
353.3 IPS |
|
|
Image Classification (Q)
|
100% |
2094
389.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2211
35.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2196
35.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2509
40.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4385
5.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
4409
5.14 IPS |
|
|
Pose Estimation (Q)
|
94% |
4963
5.82 IPS |
|
|
Object Detection (SP)
|
100% |
1734
137.6 IPS |
|
|
Object Detection (HP)
|
100% |
1746
138.5 IPS |
|
|
Object Detection (Q)
|
87% |
2214
177.6 IPS |
|
|
Face Detection (SP)
|
100% |
3931
46.7 IPS |
|
|
Face Detection (HP)
|
100% |
3910
46.5 IPS |
|
|
Face Detection (Q)
|
97% |
6826
81.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5201
40.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
5119
39.4 IPS |
|
|
Depth Estimation (Q)
|
81% |
5544
43.8 IPS |
|
|
Style Transfer (SP)
|
100% |
12620
16.2 IPS |
|
|
Style Transfer (HP)
|
100% |
13015
16.7 IPS |
|
|
Style Transfer (Q)
|
98% |
14188
18.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2611
96.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2621
96.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2940
108.9 IPS |
|
|
Text Classification (SP)
|
100% |
1816
2.42 KIPS |
|
|
Text Classification (HP)
|
100% |
1795
2.40 KIPS |
|
|
Text Classification (Q)
|
91% |
773
1.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
2277
39.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2257
38.9 IPS |
|
|
Machine Translation (Q)
|
100% |
2295
39.5 IPS |
