ASUS System Product Name
Geekbench ML Score
1544
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 | 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% |
1666
311.8 IPS |
|
|
Image Classification (F16)
|
100% |
1602
299.8 IPS |
|
|
Image Classification (I8)
|
99% |
1023
191.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
2889
48.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
2258
37.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
1129
18.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
3509
4.25 IPS |
|
|
Pose Estimation (F16)
|
100% |
2504
3.03 IPS |
|
|
Pose Estimation (I8)
|
100% |
2977
3.60 IPS |
|
|
Object Detection (F32)
|
100% |
430
32.1 IPS |
|
|
Object Detection (F16)
|
100% |
613
45.8 IPS |
|
|
Object Detection (I8)
|
65% |
868
64.8 IPS |
|
|
Face Detection (F32)
|
100% |
1918
22.8 IPS |
|
|
Face Detection (F16)
|
100% |
1237
14.7 IPS |
|
|
Face Detection (I8)
|
87% |
978
11.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
2225
17.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
2472
19.2 IPS |
|
|
Depth Estimation (I8)
|
95% |
2692
20.9 IPS |
|
|
Style Transfer (F32)
|
100% |
2354
3.10 IPS |
|
|
Style Transfer (F16)
|
100% |
2045
2.69 IPS |
|
|
Style Transfer (I8)
|
98% |
4077
5.36 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1247
44.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1240
44.3 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
2229
79.6 IPS |
|
|
Text Classification (F32)
|
100% |
1166
1.68 KIPS |
|
|
Text Classification (F16)
|
100% |
1294
1.86 KIPS |
|
|
Text Classification (I8)
|
92% |
526
755.4 IPS |
|
|
Machine Translation (F32)
|
100% |
2005
36.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1239
22.8 IPS |
|
|
Machine Translation (I8)
|
62% |
830
15.3 IPS |
