ASUS System Product Name
Geekbench ML Score
2491
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Linux AVX2
Result Information
| Upload Date | August 17 2024 01:50 PM |
| Views | 6 |
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 | 32.0 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% |
1669
312.3 IPS |
|
|
Image Classification (F16)
|
100% |
1641
307.1 IPS |
|
|
Image Classification (I8)
|
99% |
1494
279.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
2852
47.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
2910
48.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
1414
23.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
4259
5.16 IPS |
|
|
Pose Estimation (F16)
|
100% |
4201
5.09 IPS |
|
|
Pose Estimation (I8)
|
100% |
6024
7.29 IPS |
|
|
Object Detection (F32)
|
100% |
1967
146.8 IPS |
|
|
Object Detection (F16)
|
100% |
1950
145.6 IPS |
|
|
Object Detection (I8)
|
65% |
1957
146.1 IPS |
|
|
Face Detection (F32)
|
100% |
3079
36.6 IPS |
|
|
Face Detection (F16)
|
100% |
3081
36.6 IPS |
|
|
Face Detection (I8)
|
87% |
2982
35.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
3244
25.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
3203
24.8 IPS |
|
|
Depth Estimation (I8)
|
95% |
3298
25.6 IPS |
|
|
Style Transfer (F32)
|
100% |
3910
5.14 IPS |
|
|
Style Transfer (F16)
|
100% |
3968
5.22 IPS |
|
|
Style Transfer (I8)
|
98% |
8315
10.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1839
65.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1824
65.2 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1877
67.0 IPS |
|
|
Text Classification (F32)
|
100% |
1608
2.31 KIPS |
|
|
Text Classification (F16)
|
100% |
1603
2.30 KIPS |
|
|
Text Classification (I8)
|
92% |
819
1.18 KIPS |
|
|
Machine Translation (F32)
|
100% |
3347
61.6 IPS |
|
|
Machine Translation (F16)
|
100% |
3357
61.8 IPS |
|
|
Machine Translation (I8)
|
62% |
1082
19.9 IPS |
