Gigabyte Technology Co., Ltd. B450M AORUS ELITE
Geekbench ML Score
2004
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Linux AVX2
Result Information
| User | ThunderGalvao |
| Upload Date | August 17 2024 02:59 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Linux Mint 21.2 |
| Model | Gigabyte Technology Co., Ltd. B450M AORUS ELITE |
| Motherboard | Gigabyte Technology Co., Ltd. B450M AORUS ELITE |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 4.66 GHz |
| Cluster 1 | 0 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 | 62.71 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1891
353.8 IPS |
|
|
Image Classification (F16)
|
100% |
1879
351.6 IPS |
|
|
Image Classification (I8)
|
99% |
991
185.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1938
32.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1704
28.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
960
16.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
2357
2.85 IPS |
|
|
Pose Estimation (F16)
|
100% |
2401
2.91 IPS |
|
|
Pose Estimation (I8)
|
100% |
2622
3.18 IPS |
|
|
Object Detection (F32)
|
100% |
1861
139.0 IPS |
|
|
Object Detection (F16)
|
100% |
1851
138.2 IPS |
|
|
Object Detection (I8)
|
65% |
920
68.7 IPS |
|
|
Face Detection (F32)
|
100% |
3225
38.3 IPS |
|
|
Face Detection (F16)
|
100% |
3203
38.1 IPS |
|
|
Face Detection (I8)
|
87% |
2215
26.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
2693
20.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
2619
20.3 IPS |
|
|
Depth Estimation (I8)
|
95% |
2184
16.9 IPS |
|
|
Style Transfer (F32)
|
100% |
2878
3.79 IPS |
|
|
Style Transfer (F16)
|
100% |
2846
3.74 IPS |
|
|
Style Transfer (I8)
|
98% |
4917
6.47 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1912
68.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1903
68.0 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1482
52.9 IPS |
|
|
Text Classification (F32)
|
100% |
2055
2.95 KIPS |
|
|
Text Classification (F16)
|
100% |
2111
3.03 KIPS |
|
|
Text Classification (I8)
|
92% |
720
1.03 KIPS |
|
|
Machine Translation (F32)
|
100% |
3197
58.8 IPS |
|
|
Machine Translation (F16)
|
100% |
3134
57.7 IPS |
|
|
Machine Translation (I8)
|
62% |
914
16.8 IPS |
