Gigabyte Technology Co., Ltd. B450M S2H
Geekbench ML Score
14498
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 15 2024 07:27 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (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 7 5700G |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 512 KB x 8 |
| L3 Cache | 16.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 40.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Ti |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
7530
1.41 KIPS |
|
|
Image Classification (F16)
|
100% |
7532
1.41 KIPS |
|
|
Image Classification (I8)
|
100% |
6787
1.27 KIPS |
|
|
Image Segmentation (F32)
|
100% |
8891
148.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
8880
148.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
8364
139.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
103550
125.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
103352
125.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
90148
109.2 IPS |
|
|
Object Detection (F32)
|
100% |
4711
351.7 IPS |
|
|
Object Detection (F16)
|
100% |
4706
351.3 IPS |
|
|
Object Detection (I8)
|
63% |
4489
335.2 IPS |
|
|
Face Detection (F32)
|
100% |
17314
205.9 IPS |
|
|
Face Detection (F16)
|
100% |
17165
204.1 IPS |
|
|
Face Detection (I8)
|
89% |
14486
172.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
41862
324.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
44452
344.7 IPS |
|
|
Depth Estimation (I8)
|
94% |
35294
273.7 IPS |
|
|
Style Transfer (F32)
|
100% |
173294
228.0 IPS |
|
|
Style Transfer (F16)
|
100% |
174399
229.4 IPS |
|
|
Style Transfer (I8)
|
98% |
157330
207.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
28717
1.03 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
29080
1.04 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
22302
796.5 IPS |
|
|
Text Classification (F32)
|
100% |
2515
3.61 KIPS |
|
|
Text Classification (F16)
|
100% |
2550
3.66 KIPS |
|
|
Text Classification (I8)
|
98% |
1687
2.42 KIPS |
|
|
Machine Translation (F32)
|
100% |
2573
47.4 IPS |
|
|
Machine Translation (F16)
|
100% |
2513
46.2 IPS |
|
|
Machine Translation (I8)
|
70% |
1617
29.7 IPS |
