Gigabyte Technology Co., Ltd. B450M S2H
Geekbench AI Score
15140
Single Precision Score
13469
Half Precision Score
12430
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | kot-ubitsa |
| Upload Date | June 16 2025 09:20 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 |
| 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% |
6285
1.17 KIPS |
|
|
Image Classification (HP)
|
100% |
6140
1.14 KIPS |
|
|
Image Classification (Q)
|
99% |
5792
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8750
141.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
7878
127.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
8203
133.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
82908
96.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
53011
61.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
75198
88.1 IPS |
|
|
Object Detection (SP)
|
100% |
7598
602.7 IPS |
|
|
Object Detection (HP)
|
100% |
7367
584.4 IPS |
|
|
Object Detection (Q)
|
84% |
6855
552.9 IPS |
|
|
Face Detection (SP)
|
100% |
17259
205.1 IPS |
|
|
Face Detection (HP)
|
100% |
15860
188.5 IPS |
|
|
Face Detection (Q)
|
97% |
15617
186.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
37998
292.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
32350
249.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
31867
254.9 IPS |
|
|
Style Transfer (SP)
|
100% |
139880
179.8 IPS |
|
|
Style Transfer (HP)
|
100% |
107326
138.0 IPS |
|
|
Style Transfer (Q)
|
98% |
125581
161.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25947
958.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21065
777.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19883
736.3 IPS |
|
|
Text Classification (SP)
|
100% |
2842
3.79 KIPS |
|
|
Text Classification (HP)
|
100% |
3180
4.24 KIPS |
|
|
Text Classification (Q)
|
97% |
1853
2.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
2701
46.5 IPS |
|
|
Machine Translation (HP)
|
96% |
2821
48.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1562
29.3 IPS |
