Gigabyte Technology Co., Ltd. B450M DS3H
Geekbench AI Score
96
Single Precision Score
95
Half Precision Score
66
Quantized Score
Geekbench AI 1.5.0 for Linux x86 (64-bit)
Result Information
| User | huntz |
| Upload Date | October 04 2025 12:03 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 7 5800X |
| System Information | |
|---|---|
| Operating System | Ubuntu 25.04 |
| Model | Gigabyte Technology Co., Ltd. B450M DS3H |
| Motherboard | Gigabyte Technology Co., Ltd. B450M DS3H-CF |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 4.85 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 31.27 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
60
11.1 IPS |
|
|
Image Classification (HP)
|
100% |
57
10.6 IPS |
|
|
Image Classification (Q)
|
97% |
42
7.88 IPS |
|
|
Image Segmentation (SP)
|
100% |
77
1.25 IPS |
|
|
Image Segmentation (HP)
|
100% |
77
1.24 IPS |
|
|
Image Segmentation (Q)
|
98% |
55
0.89 IPS |
|
|
Pose Estimation (SP)
|
100% |
88
0.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
86
0.10 IPS |
|
|
Pose Estimation (Q)
|
96% |
66
0.08 IPS |
|
|
Object Detection (SP)
|
100% |
53
4.19 IPS |
|
|
Object Detection (HP)
|
100% |
53
4.20 IPS |
|
|
Object Detection (Q)
|
87% |
39
3.10 IPS |
|
|
Face Detection (SP)
|
100% |
180
2.14 IPS |
|
|
Face Detection (HP)
|
100% |
180
2.13 IPS |
|
|
Face Detection (Q)
|
97% |
129
1.54 IPS |
|
|
Depth Estimation (SP)
|
100% |
127
0.98 IPS |
|
|
Depth Estimation (HP)
|
99% |
126
0.97 IPS |
|
|
Depth Estimation (Q)
|
64% |
79
0.72 IPS |
|
|
Style Transfer (SP)
|
100% |
262
0.34 IPS |
|
|
Style Transfer (HP)
|
100% |
263
0.34 IPS |
|
|
Style Transfer (Q)
|
98% |
200
0.26 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
57
2.10 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
57
2.10 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
42
1.54 IPS |
|
|
Text Classification (SP)
|
100% |
72
96.1 IPS |
|
|
Text Classification (HP)
|
100% |
72
96.1 IPS |
|
|
Text Classification (Q)
|
91% |
49
66.4 IPS |
|
|
Machine Translation (SP)
|
100% |
134
2.30 IPS |
|
|
Machine Translation (HP)
|
100% |
134
2.30 IPS |
|
|
Machine Translation (Q)
|
58% |
64
1.53 IPS |
