Gigabyte Technology Co., Ltd. B650E AORUS MASTER
Geekbench ML Score
5539
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | Zenux |
| Upload Date | January 07 2024 09:53 AM |
| Views | 43 |
System Information
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B650E AORUS MASTER |
| Motherboard | Gigabyte Technology Co., Ltd. B650E AORUS MASTER |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 1.00 MB 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% |
3177
594.5 IPS |
|
|
Image Classification (F16)
|
100% |
3184
595.9 IPS |
|
|
Image Classification (I8)
|
99% |
6600
1.23 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2686
44.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
2661
44.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
3199
53.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
9334
11.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
9338
11.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
31710
38.4 IPS |
|
|
Object Detection (F32)
|
100% |
2986
222.9 IPS |
|
|
Object Detection (F16)
|
100% |
3014
225.0 IPS |
|
|
Object Detection (I8)
|
62% |
3041
227.0 IPS |
|
|
Face Detection (F32)
|
100% |
5865
69.7 IPS |
|
|
Face Detection (F16)
|
100% |
5843
69.5 IPS |
|
|
Face Detection (I8)
|
89% |
7108
84.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
11089
86.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
11101
86.1 IPS |
|
|
Depth Estimation (I8)
|
96% |
22862
177.3 IPS |
|
|
Style Transfer (F32)
|
100% |
23561
31.0 IPS |
|
|
Style Transfer (F16)
|
100% |
23495
30.9 IPS |
|
|
Style Transfer (I8)
|
98% |
36786
48.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2687
96.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4741
169.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5039
180.0 IPS |
|
|
Text Classification (F32)
|
100% |
2657
3.82 KIPS |
|
|
Text Classification (F16)
|
100% |
2666
3.83 KIPS |
|
|
Text Classification (I8)
|
98% |
497
714.2 IPS |
|
|
Machine Translation (F32)
|
100% |
3553
65.4 IPS |
|
|
Machine Translation (F16)
|
100% |
3541
65.2 IPS |
|
|
Machine Translation (I8)
|
67% |
4403
81.0 IPS |
