Gigabyte Technology Co., Ltd. B550 AORUS ELITE
Geekbench ML Score
4046
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 17 2024 12:34 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B550 AORUS ELITE |
| Motherboard | Gigabyte Technology Co., Ltd. B550 AORUS ELITE |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| L1 Instruction Cache | 32.0 KB x 16 |
| L1 Data Cache | 32.0 KB x 16 |
| L2 Cache | 512 KB x 16 |
| 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% |
1642
307.3 IPS |
|
|
Image Classification (F16)
|
100% |
1736
324.9 IPS |
|
|
Image Classification (I8)
|
97% |
3515
657.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
2043
34.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
2136
35.7 IPS |
|
|
Image Segmentation (I8)
|
97% |
2605
43.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
12198
14.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
12316
14.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
22110
26.8 IPS |
|
|
Object Detection (F32)
|
100% |
1956
146.0 IPS |
|
|
Object Detection (F16)
|
100% |
1965
146.7 IPS |
|
|
Object Detection (I8)
|
60% |
1819
135.8 IPS |
|
|
Face Detection (F32)
|
100% |
3311
39.4 IPS |
|
|
Face Detection (F16)
|
100% |
3342
39.7 IPS |
|
|
Face Detection (I8)
|
87% |
4427
52.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
9335
72.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
8994
69.7 IPS |
|
|
Depth Estimation (I8)
|
74% |
15313
118.7 IPS |
|
|
Style Transfer (F32)
|
100% |
25198
33.1 IPS |
|
|
Style Transfer (F16)
|
100% |
24596
32.4 IPS |
|
|
Style Transfer (I8)
|
85% |
22156
29.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3490
124.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3471
123.9 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
4180
149.3 IPS |
|
|
Text Classification (F32)
|
100% |
1456
2.09 KIPS |
|
|
Text Classification (F16)
|
100% |
1454
2.09 KIPS |
|
|
Text Classification (I8)
|
94% |
381
547.8 IPS |
|
|
Machine Translation (F32)
|
100% |
2403
44.2 IPS |
|
|
Machine Translation (F16)
|
100% |
2412
44.4 IPS |
|
|
Machine Translation (I8)
|
67% |
3010
55.4 IPS |
