ASUS System Product Name
Geekbench ML Score
1537
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Linux AVX2
Result Information
| Upload Date | August 17 2024 01:47 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% |
1038
194.3 IPS |
|
|
Image Classification (F16)
|
100% |
1174
219.6 IPS |
|
|
Image Classification (I8)
|
99% |
1486
278.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
2826
47.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
2600
43.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
1129
18.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
2877
3.48 IPS |
|
|
Pose Estimation (F16)
|
100% |
4191
5.07 IPS |
|
|
Pose Estimation (I8)
|
100% |
4534
5.49 IPS |
|
|
Object Detection (F32)
|
100% |
663
49.5 IPS |
|
|
Object Detection (F16)
|
100% |
1011
75.5 IPS |
|
|
Object Detection (I8)
|
65% |
422
31.5 IPS |
|
|
Face Detection (F32)
|
100% |
2594
30.8 IPS |
|
|
Face Detection (F16)
|
100% |
1501
17.9 IPS |
|
|
Face Detection (I8)
|
87% |
1180
14.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
1722
13.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
2289
17.7 IPS |
|
|
Depth Estimation (I8)
|
95% |
964
7.47 IPS |
|
|
Style Transfer (F32)
|
100% |
1901
2.50 IPS |
|
|
Style Transfer (F16)
|
100% |
2887
3.80 IPS |
|
|
Style Transfer (I8)
|
98% |
5578
7.34 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1787
63.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1490
53.2 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1815
64.8 IPS |
|
|
Text Classification (F32)
|
100% |
1031
1.48 KIPS |
|
|
Text Classification (F16)
|
100% |
1028
1.48 KIPS |
|
|
Text Classification (I8)
|
92% |
571
821.2 IPS |
|
|
Machine Translation (F32)
|
100% |
958
17.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1249
23.0 IPS |
|
|
Machine Translation (I8)
|
62% |
920
16.9 IPS |
