System manufacturer System Product Name
Geekbench ML Score
1971
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Linux AVX2
Result Information
| Upload Date | September 13 2024 01:37 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Gentoo Linux |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF B450-PLUS GAMING |
| 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 | 94.20 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1452
271.6 IPS |
|
|
Image Classification (F16)
|
100% |
1461
273.5 IPS |
|
|
Image Classification (I8)
|
99% |
1153
215.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
2185
36.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
2184
36.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
1200
20.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
2526
3.06 IPS |
|
|
Pose Estimation (F16)
|
100% |
2652
3.21 IPS |
|
|
Pose Estimation (I8)
|
100% |
4173
5.05 IPS |
|
|
Object Detection (F32)
|
100% |
1565
116.9 IPS |
|
|
Object Detection (F16)
|
100% |
1560
116.4 IPS |
|
|
Object Detection (I8)
|
65% |
1519
113.4 IPS |
|
|
Face Detection (F32)
|
100% |
2525
30.0 IPS |
|
|
Face Detection (F16)
|
100% |
2505
29.8 IPS |
|
|
Face Detection (I8)
|
87% |
2621
31.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
2217
17.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
2203
17.1 IPS |
|
|
Depth Estimation (I8)
|
95% |
2662
20.6 IPS |
|
|
Style Transfer (F32)
|
100% |
2808
3.69 IPS |
|
|
Style Transfer (F16)
|
100% |
2892
3.80 IPS |
|
|
Style Transfer (I8)
|
98% |
6369
8.38 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1620
57.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1628
58.1 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1924
68.7 IPS |
|
|
Text Classification (F32)
|
100% |
1209
1.74 KIPS |
|
|
Text Classification (F16)
|
100% |
1291
1.86 KIPS |
|
|
Text Classification (I8)
|
92% |
716
1.03 KIPS |
|
|
Machine Translation (F32)
|
100% |
2798
51.5 IPS |
|
|
Machine Translation (F16)
|
100% |
2873
52.9 IPS |
|
|
Machine Translation (I8)
|
62% |
949
17.5 IPS |
