ASUS System Product Name
Geekbench ML Score
1467
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% |
1685
315.3 IPS |
|
|
Image Classification (F16)
|
100% |
1077
201.5 IPS |
|
|
Image Classification (I8)
|
99% |
805
150.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
2290
38.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
2044
34.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
1094
18.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
2404
2.91 IPS |
|
|
Pose Estimation (F16)
|
100% |
2659
3.22 IPS |
|
|
Pose Estimation (I8)
|
100% |
2332
2.82 IPS |
|
|
Object Detection (F32)
|
100% |
1479
110.4 IPS |
|
|
Object Detection (F16)
|
100% |
742
55.4 IPS |
|
|
Object Detection (I8)
|
65% |
1301
97.1 IPS |
|
|
Face Detection (F32)
|
100% |
1337
15.9 IPS |
|
|
Face Detection (F16)
|
100% |
1328
15.8 IPS |
|
|
Face Detection (I8)
|
87% |
833
9.90 IPS |
|
|
Depth Estimation (F32)
|
100% |
2281
17.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
2465
19.1 IPS |
|
|
Depth Estimation (I8)
|
95% |
2204
17.1 IPS |
|
|
Style Transfer (F32)
|
100% |
2865
3.77 IPS |
|
|
Style Transfer (F16)
|
100% |
2456
3.23 IPS |
|
|
Style Transfer (I8)
|
98% |
5481
7.21 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1475
52.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1490
53.2 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1870
66.8 IPS |
|
|
Text Classification (F32)
|
100% |
1071
1.54 KIPS |
|
|
Text Classification (F16)
|
100% |
507
729.1 IPS |
|
|
Text Classification (I8)
|
92% |
282
406.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1504
27.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1014
18.7 IPS |
|
|
Machine Translation (I8)
|
62% |
921
16.9 IPS |
