Gigabyte Technology Co., Ltd. B450M H
Geekbench ML Score
6849
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 17 2024 11:15 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B450M H |
| Motherboard | Gigabyte Technology Co., Ltd. B450M H |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 3500 |
| Topology | 1 Processor, 6 Cores |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 6 Cores |
| L1 Instruction Cache | 32.0 KB x 6 |
| L1 Data Cache | 32.0 KB x 6 |
| L2 Cache | 512 KB x 6 |
| L3 Cache | 8.00 MB x 2 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1660 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3458
647.0 IPS |
|
|
Image Classification (F16)
|
100% |
3495
654.0 IPS |
|
|
Image Classification (I8)
|
100% |
2744
513.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
4956
82.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
4979
83.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
4105
68.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
32333
39.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
39375
47.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
32532
39.4 IPS |
|
|
Object Detection (F32)
|
100% |
2595
193.8 IPS |
|
|
Object Detection (F16)
|
100% |
2716
202.7 IPS |
|
|
Object Detection (I8)
|
60% |
2361
176.3 IPS |
|
|
Face Detection (F32)
|
100% |
8098
96.3 IPS |
|
|
Face Detection (F16)
|
100% |
8105
96.4 IPS |
|
|
Face Detection (I8)
|
89% |
6380
75.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
17221
133.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
20309
157.5 IPS |
|
|
Depth Estimation (I8)
|
95% |
15190
117.8 IPS |
|
|
Style Transfer (F32)
|
100% |
59825
78.7 IPS |
|
|
Style Transfer (F16)
|
100% |
60152
79.1 IPS |
|
|
Style Transfer (I8)
|
98% |
53244
70.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
12498
446.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
11142
397.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
7237
258.5 IPS |
|
|
Text Classification (F32)
|
100% |
1252
1.80 KIPS |
|
|
Text Classification (F16)
|
100% |
1354
1.95 KIPS |
|
|
Text Classification (I8)
|
98% |
880
1.26 KIPS |
|
|
Machine Translation (F32)
|
100% |
2501
46.0 IPS |
|
|
Machine Translation (F16)
|
100% |
2502
46.0 IPS |
|
|
Machine Translation (I8)
|
70% |
1266
23.3 IPS |
