ASUS System Product Name
Geekbench ML Score
2544
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Linux AVX2
Result Information
| Upload Date | January 06 2024 07:46 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Ubuntu 22.04.3 LTS |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ProArt X670E-CREATOR 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 | 5.71 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 | 62.51 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1731
323.9 IPS |
|
|
Image Classification (F16)
|
100% |
1749
327.4 IPS |
|
|
Image Classification (I8)
|
99% |
1529
286.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
2883
48.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
2603
43.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
1435
24.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
4364
5.28 IPS |
|
|
Pose Estimation (F16)
|
100% |
4124
4.99 IPS |
|
|
Pose Estimation (I8)
|
100% |
5847
7.08 IPS |
|
|
Object Detection (F32)
|
100% |
1934
144.4 IPS |
|
|
Object Detection (F16)
|
100% |
1837
137.2 IPS |
|
|
Object Detection (I8)
|
65% |
1997
149.1 IPS |
|
|
Face Detection (F32)
|
100% |
3121
37.1 IPS |
|
|
Face Detection (F16)
|
100% |
3118
37.1 IPS |
|
|
Face Detection (I8)
|
87% |
2827
33.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
3291
25.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
3127
24.3 IPS |
|
|
Depth Estimation (I8)
|
95% |
3153
24.4 IPS |
|
|
Style Transfer (F32)
|
100% |
4473
5.88 IPS |
|
|
Style Transfer (F16)
|
100% |
4591
6.04 IPS |
|
|
Style Transfer (I8)
|
98% |
8313
10.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1836
65.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1838
65.6 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
2675
95.5 IPS |
|
|
Text Classification (F32)
|
100% |
1568
2.25 KIPS |
|
|
Text Classification (F16)
|
100% |
1555
2.23 KIPS |
|
|
Text Classification (I8)
|
92% |
862
1.24 KIPS |
|
|
Machine Translation (F32)
|
100% |
3485
64.1 IPS |
|
|
Machine Translation (F16)
|
100% |
3441
63.3 IPS |
|
|
Machine Translation (I8)
|
62% |
1145
21.1 IPS |
