Darksider ASUS System Product Name
Geekbench ML Score
3152
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Linux AVX2
Result Information
| User | Keith_Myers |
| Upload Date | August 20 2024 03:14 AM |
| Views | 1 |
| Notes | Hynix 6400 preset AI OPT cooler=85 |
System Information
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04 LTS |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E HERO |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X 16-Core Processor |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 5.75 GHz |
| Cluster 1 | 0 Cores |
| L1 Instruction Cache | 32.0 KB x 16 |
| L1 Data Cache | 48.0 KB x 16 |
| L2 Cache | 1.00 MB x 16 |
| L3 Cache | 32.0 MB x 2 |
| Memory Information | |
|---|---|
| Size | 30.97 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2035
380.9 IPS |
|
|
Image Classification (F16)
|
100% |
2054
384.4 IPS |
|
|
Image Classification (I8)
|
99% |
1967
368.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
3533
59.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
3571
59.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
1809
30.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
5098
6.17 IPS |
|
|
Pose Estimation (F16)
|
100% |
5029
6.09 IPS |
|
|
Pose Estimation (I8)
|
100% |
7437
9.01 IPS |
|
|
Object Detection (F32)
|
100% |
2378
177.5 IPS |
|
|
Object Detection (F16)
|
100% |
2388
178.3 IPS |
|
|
Object Detection (I8)
|
65% |
2687
200.6 IPS |
|
|
Face Detection (F32)
|
100% |
3784
45.0 IPS |
|
|
Face Detection (F16)
|
100% |
3826
45.5 IPS |
|
|
Face Detection (I8)
|
87% |
4206
50.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
3889
30.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
3880
30.1 IPS |
|
|
Depth Estimation (I8)
|
95% |
4443
34.5 IPS |
|
|
Style Transfer (F32)
|
100% |
5313
6.99 IPS |
|
|
Style Transfer (F16)
|
100% |
5298
6.97 IPS |
|
|
Style Transfer (I8)
|
98% |
10675
14.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2432
86.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2448
87.4 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
3111
111.1 IPS |
|
|
Text Classification (F32)
|
100% |
1695
2.44 KIPS |
|
|
Text Classification (F16)
|
100% |
1864
2.68 KIPS |
|
|
Text Classification (I8)
|
92% |
1062
1.53 KIPS |
|
|
Machine Translation (F32)
|
100% |
4015
73.9 IPS |
|
|
Machine Translation (F16)
|
100% |
4145
76.3 IPS |
|
|
Machine Translation (I8)
|
62% |
1321
24.3 IPS |
