Gigabyte Technology Co., Ltd. B450 I AORUS PRO WIFI
Geekbench ML Score
1406
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Linux AVX2
Result Information
| Upload Date | November 18 2024 01:14 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Gentoo Linux |
| Model | Gigabyte Technology Co., Ltd. B450 I AORUS PRO WIFI |
| Motherboard | Gigabyte Technology Co., Ltd. B450 I AORUS PRO WIFI-CF |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 3700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 4.63 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 | 16.0 MB x 2 |
| Memory Information | |
|---|---|
| Size | 31.26 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1104
206.6 IPS |
|
|
Image Classification (F16)
|
100% |
1101
206.0 IPS |
|
|
Image Classification (I8)
|
99% |
739
138.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1469
24.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1513
25.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
820
13.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
2151
2.60 IPS |
|
|
Pose Estimation (F16)
|
100% |
2108
2.55 IPS |
|
|
Pose Estimation (I8)
|
100% |
2218
2.69 IPS |
|
|
Object Detection (F32)
|
100% |
1200
89.6 IPS |
|
|
Object Detection (F16)
|
100% |
1159
86.5 IPS |
|
|
Object Detection (I8)
|
65% |
721
53.8 IPS |
|
|
Face Detection (F32)
|
100% |
1903
22.6 IPS |
|
|
Face Detection (F16)
|
100% |
1910
22.7 IPS |
|
|
Face Detection (I8)
|
87% |
1520
18.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
1841
14.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
1820
14.1 IPS |
|
|
Depth Estimation (I8)
|
95% |
1770
13.7 IPS |
|
|
Style Transfer (F32)
|
100% |
2502
3.29 IPS |
|
|
Style Transfer (F16)
|
100% |
2501
3.29 IPS |
|
|
Style Transfer (I8)
|
98% |
4048
5.33 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1257
44.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1266
45.2 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1165
41.6 IPS |
|
|
Text Classification (F32)
|
100% |
1033
1.49 KIPS |
|
|
Text Classification (F16)
|
100% |
1088
1.56 KIPS |
|
|
Text Classification (I8)
|
92% |
504
724.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1783
32.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1621
29.8 IPS |
|
|
Machine Translation (I8)
|
62% |
662
12.2 IPS |
