Gigabyte Technology Co., Ltd. B550 GAMING X V2
Geekbench ML Score
2862
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 07:28 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B550 GAMING X V2 |
| Motherboard | Gigabyte Technology Co., Ltd. B550 GAMING X V2 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 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 | 32.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1513
283.1 IPS |
|
|
Image Classification (F16)
|
100% |
1509
282.5 IPS |
|
|
Image Classification (I8)
|
97% |
3278
613.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1395
23.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1528
25.5 IPS |
|
|
Image Segmentation (I8)
|
97% |
1874
31.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
4530
5.49 IPS |
|
|
Pose Estimation (F16)
|
100% |
4932
5.97 IPS |
|
|
Pose Estimation (I8)
|
100% |
11494
13.9 IPS |
|
|
Object Detection (F32)
|
100% |
1908
142.5 IPS |
|
|
Object Detection (F16)
|
100% |
1535
114.6 IPS |
|
|
Object Detection (I8)
|
60% |
1519
113.4 IPS |
|
|
Face Detection (F32)
|
100% |
2831
33.7 IPS |
|
|
Face Detection (F16)
|
100% |
2879
34.2 IPS |
|
|
Face Detection (I8)
|
87% |
4172
49.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
4966
38.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
6211
48.2 IPS |
|
|
Depth Estimation (I8)
|
74% |
10379
80.5 IPS |
|
|
Style Transfer (F32)
|
100% |
11248
14.8 IPS |
|
|
Style Transfer (F16)
|
100% |
10731
14.1 IPS |
|
|
Style Transfer (I8)
|
85% |
16037
21.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2306
82.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2257
80.6 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
3009
107.5 IPS |
|
|
Text Classification (F32)
|
100% |
1181
1.70 KIPS |
|
|
Text Classification (F16)
|
100% |
1333
1.92 KIPS |
|
|
Text Classification (I8)
|
94% |
347
498.6 IPS |
|
|
Machine Translation (F32)
|
100% |
1864
34.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1822
33.5 IPS |
|
|
Machine Translation (I8)
|
67% |
2405
44.3 IPS |
