ASUS System Product Name
Geekbench ML Score
2456
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Linux AVX2
Result Information
| Upload Date | August 17 2024 01:53 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Ubuntu 22.04.4 LTS |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING X670E-PLUS WIFI |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 5.76 GHz |
| Cluster 1 | 0 Cores |
| L1 Instruction Cache | 32.0 KB x 16 |
| L1 Data Cache | 32.0 KB x 16 |
| L2 Cache | 1.00 MB x 16 |
| L3 Cache | 96.0 MB x 2 |
| Memory Information | |
|---|---|
| Size | 93.43 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1677
313.9 IPS |
|
|
Image Classification (F16)
|
100% |
1660
310.5 IPS |
|
|
Image Classification (I8)
|
99% |
1442
269.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
2830
47.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
2926
48.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
1399
23.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
4223
5.11 IPS |
|
|
Pose Estimation (F16)
|
100% |
4203
5.09 IPS |
|
|
Pose Estimation (I8)
|
100% |
6060
7.34 IPS |
|
|
Object Detection (F32)
|
100% |
1931
144.2 IPS |
|
|
Object Detection (F16)
|
100% |
1939
144.8 IPS |
|
|
Object Detection (I8)
|
65% |
1921
143.4 IPS |
|
|
Face Detection (F32)
|
100% |
3070
36.5 IPS |
|
|
Face Detection (F16)
|
100% |
3071
36.5 IPS |
|
|
Face Detection (I8)
|
87% |
3019
35.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
3230
25.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
3249
25.2 IPS |
|
|
Depth Estimation (I8)
|
95% |
3350
26.0 IPS |
|
|
Style Transfer (F32)
|
100% |
3879
5.10 IPS |
|
|
Style Transfer (F16)
|
100% |
3889
5.12 IPS |
|
|
Style Transfer (I8)
|
98% |
8276
10.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1831
65.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1823
65.1 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
2505
89.5 IPS |
|
|
Text Classification (F32)
|
100% |
1578
2.27 KIPS |
|
|
Text Classification (F16)
|
100% |
1610
2.31 KIPS |
|
|
Text Classification (I8)
|
92% |
804
1.16 KIPS |
|
|
Machine Translation (F32)
|
100% |
2680
49.3 IPS |
|
|
Machine Translation (F16)
|
100% |
2279
41.9 IPS |
|
|
Machine Translation (I8)
|
62% |
1094
20.1 IPS |
