B550M-ITX/ac
Geekbench ML Score
10792
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 19 2024 12:38 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 IoT Enterprise LTSC (64-bit) |
| Model | B550M-ITX/ac |
| Motherboard | ASRock B550M-ITX/ac |
| Power Plan | 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 | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5722
1.07 KIPS |
|
|
Image Classification (F16)
|
100% |
5728
1.07 KIPS |
|
|
Image Classification (I8)
|
100% |
4118
770.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
7959
132.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
7852
131.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
6573
109.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
65934
79.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
65100
78.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
54803
66.4 IPS |
|
|
Object Detection (F32)
|
100% |
4209
314.2 IPS |
|
|
Object Detection (F16)
|
100% |
3803
283.9 IPS |
|
|
Object Detection (I8)
|
61% |
3359
250.8 IPS |
|
|
Face Detection (F32)
|
100% |
14497
172.4 IPS |
|
|
Face Detection (F16)
|
100% |
14434
171.6 IPS |
|
|
Face Detection (I8)
|
89% |
11078
131.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
29506
228.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
31576
244.9 IPS |
|
|
Depth Estimation (I8)
|
94% |
22824
177.0 IPS |
|
|
Style Transfer (F32)
|
100% |
111161
146.2 IPS |
|
|
Style Transfer (F16)
|
100% |
104629
137.6 IPS |
|
|
Style Transfer (I8)
|
98% |
85005
111.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
19306
689.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
20257
723.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
12726
454.5 IPS |
|
|
Text Classification (F32)
|
100% |
2059
2.96 KIPS |
|
|
Text Classification (F16)
|
100% |
2048
2.94 KIPS |
|
|
Text Classification (I8)
|
98% |
1118
1.61 KIPS |
|
|
Machine Translation (F32)
|
100% |
2935
54.0 IPS |
|
|
Machine Translation (F16)
|
100% |
2937
54.0 IPS |
|
|
Machine Translation (I8)
|
70% |
1427
26.3 IPS |
