Gigabyte Technology Co., Ltd. B550 AORUS ELITE V2
Geekbench ML Score
4011
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | May 08 2024 02:40 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B550 AORUS ELITE V2 |
| Motherboard | Gigabyte Technology Co., Ltd. B550 AORUS ELITE V2 |
| Power Plan | AMD Ryzen High Performance |
| 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% |
2497
467.2 IPS |
|
|
Image Classification (F16)
|
100% |
2502
468.2 IPS |
|
|
Image Classification (I8)
|
97% |
4218
789.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
2232
37.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
2225
37.2 IPS |
|
|
Image Segmentation (I8)
|
97% |
2316
38.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
7290
8.83 IPS |
|
|
Pose Estimation (F16)
|
100% |
7218
8.74 IPS |
|
|
Pose Estimation (I8)
|
100% |
13856
16.8 IPS |
|
|
Object Detection (F32)
|
100% |
2278
170.1 IPS |
|
|
Object Detection (F16)
|
100% |
2247
167.8 IPS |
|
|
Object Detection (I8)
|
60% |
2104
157.1 IPS |
|
|
Face Detection (F32)
|
100% |
3519
41.8 IPS |
|
|
Face Detection (F16)
|
100% |
3576
42.5 IPS |
|
|
Face Detection (I8)
|
87% |
4781
56.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
8236
63.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
8281
64.2 IPS |
|
|
Depth Estimation (I8)
|
74% |
12833
99.5 IPS |
|
|
Style Transfer (F32)
|
100% |
17210
22.6 IPS |
|
|
Style Transfer (F16)
|
100% |
16808
22.1 IPS |
|
|
Style Transfer (I8)
|
85% |
18029
23.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3452
123.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3463
123.7 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
4149
148.2 IPS |
|
|
Text Classification (F32)
|
100% |
2027
2.91 KIPS |
|
|
Text Classification (F16)
|
100% |
2043
2.94 KIPS |
|
|
Text Classification (I8)
|
94% |
406
583.3 IPS |
|
|
Machine Translation (F32)
|
100% |
2842
52.3 IPS |
|
|
Machine Translation (F16)
|
100% |
2774
51.1 IPS |
|
|
Machine Translation (I8)
|
67% |
2915
53.6 IPS |
