To Be Filled By O.E.M. X370 Killer SLI
Geekbench ML Score
1558
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Linux AVX2
Result Information
| Upload Date | August 15 2024 05:37 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Linux Mint 22 |
| Model | To Be Filled By O.E.M. X370 Killer SLI |
| Motherboard | ASRock X370 Killer SLI |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 5.08 GHz |
| Cluster 1 | 0 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 | 62.72 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1078
201.8 IPS |
|
|
Image Classification (F16)
|
100% |
1086
203.2 IPS |
|
|
Image Classification (I8)
|
99% |
982
183.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1677
28.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1669
27.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
1111
18.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
1962
2.38 IPS |
|
|
Pose Estimation (F16)
|
100% |
1928
2.33 IPS |
|
|
Pose Estimation (I8)
|
100% |
4004
4.85 IPS |
|
|
Object Detection (F32)
|
100% |
1191
88.9 IPS |
|
|
Object Detection (F16)
|
100% |
1173
87.5 IPS |
|
|
Object Detection (I8)
|
65% |
1312
97.9 IPS |
|
|
Face Detection (F32)
|
100% |
1885
22.4 IPS |
|
|
Face Detection (F16)
|
100% |
1906
22.7 IPS |
|
|
Face Detection (I8)
|
87% |
2262
26.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
1724
13.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
1749
13.6 IPS |
|
|
Depth Estimation (I8)
|
95% |
2361
18.3 IPS |
|
|
Style Transfer (F32)
|
100% |
2145
2.82 IPS |
|
|
Style Transfer (F16)
|
100% |
2154
2.83 IPS |
|
|
Style Transfer (I8)
|
98% |
5541
7.29 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1228
43.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1197
42.7 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1458
52.1 IPS |
|
|
Text Classification (F32)
|
100% |
999
1.44 KIPS |
|
|
Text Classification (F16)
|
100% |
827
1.19 KIPS |
|
|
Text Classification (I8)
|
92% |
629
904.5 IPS |
|
|
Machine Translation (F32)
|
100% |
2095
38.5 IPS |
|
|
Machine Translation (F16)
|
100% |
2053
37.8 IPS |
|
|
Machine Translation (I8)
|
62% |
857
15.8 IPS |
