Gigabyte Technology Co., Ltd. B650M GAMING WIFI
Geekbench ML Score
10392
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | January 09 2025 01:21 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B650M GAMING WIFI |
| Motherboard | Gigabyte Technology Co., Ltd. B650M GAMING WIFI |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7500F |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| L1 Instruction Cache | 32.0 KB x 6 |
| L1 Data Cache | 32.0 KB x 6 |
| L2 Cache | 1.00 MB x 6 |
| L3 Cache | 32.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6600 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
6314
1.18 KIPS |
|
|
Image Classification (F16)
|
100% |
6197
1.16 KIPS |
|
|
Image Classification (I8)
|
100% |
5255
983.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
7364
123.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
7413
123.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
6515
108.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
77900
94.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
77622
94.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
64809
78.5 IPS |
|
|
Object Detection (F32)
|
100% |
3152
235.3 IPS |
|
|
Object Detection (F16)
|
100% |
2405
179.5 IPS |
|
|
Object Detection (I8)
|
62% |
2727
203.6 IPS |
|
|
Face Detection (F32)
|
100% |
16152
192.1 IPS |
|
|
Face Detection (F16)
|
100% |
16026
190.6 IPS |
|
|
Face Detection (I8)
|
89% |
12156
144.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
29258
226.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
31654
245.5 IPS |
|
|
Depth Estimation (I8)
|
95% |
19739
153.1 IPS |
|
|
Style Transfer (F32)
|
100% |
91783
120.7 IPS |
|
|
Style Transfer (F16)
|
100% |
90883
119.5 IPS |
|
|
Style Transfer (I8)
|
98% |
80113
105.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8945
319.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
9276
331.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
7937
283.5 IPS |
|
|
Text Classification (F32)
|
100% |
2243
3.22 KIPS |
|
|
Text Classification (F16)
|
100% |
2247
3.23 KIPS |
|
|
Text Classification (I8)
|
98% |
1643
2.36 KIPS |
|
|
Machine Translation (F32)
|
100% |
3566
65.6 IPS |
|
|
Machine Translation (F16)
|
100% |
3190
58.7 IPS |
|
|
Machine Translation (I8)
|
70% |
2249
41.4 IPS |
