Gigabyte Technology Co., Ltd. B550 AORUS PRO
Geekbench ML Score
3467
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | February 24 2024 10:45 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B550 AORUS PRO |
| Motherboard | Gigabyte Technology Co., Ltd. B550 AORUS PRO |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| L1 Instruction Cache | 32.0 KB x 12 |
| L1 Data Cache | 32.0 KB x 12 |
| L2 Cache | 512 KB x 12 |
| L3 Cache | 32.0 MB x 2 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1577
295.1 IPS |
|
|
Image Classification (F16)
|
100% |
1582
296.1 IPS |
|
|
Image Classification (I8)
|
97% |
3270
612.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1907
31.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1920
32.1 IPS |
|
|
Image Segmentation (I8)
|
97% |
2243
37.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
8013
9.70 IPS |
|
|
Pose Estimation (F16)
|
100% |
8043
9.74 IPS |
|
|
Pose Estimation (I8)
|
100% |
15545
18.8 IPS |
|
|
Object Detection (F32)
|
100% |
1744
130.2 IPS |
|
|
Object Detection (F16)
|
100% |
1750
130.7 IPS |
|
|
Object Detection (I8)
|
60% |
1658
123.8 IPS |
|
|
Face Detection (F32)
|
100% |
3259
38.7 IPS |
|
|
Face Detection (F16)
|
100% |
3273
38.9 IPS |
|
|
Face Detection (I8)
|
87% |
4300
51.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
7703
59.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
7632
59.2 IPS |
|
|
Depth Estimation (I8)
|
74% |
12282
95.2 IPS |
|
|
Style Transfer (F32)
|
100% |
17053
22.4 IPS |
|
|
Style Transfer (F16)
|
100% |
17029
22.4 IPS |
|
|
Style Transfer (I8)
|
85% |
19038
25.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2665
95.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2676
95.6 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
3651
130.4 IPS |
|
|
Text Classification (F32)
|
100% |
1364
1.96 KIPS |
|
|
Text Classification (F16)
|
100% |
1366
1.96 KIPS |
|
|
Text Classification (I8)
|
94% |
363
521.2 IPS |
|
|
Machine Translation (F32)
|
100% |
2312
42.5 IPS |
|
|
Machine Translation (F16)
|
100% |
2284
42.0 IPS |
|
|
Machine Translation (I8)
|
67% |
2753
50.7 IPS |
