ASUS System Product Name
Geekbench ML Score
122
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Linux x86 (64-bit)
Result Information
| User | tandemcykeln |
| Upload Date | August 16 2024 03:12 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Ubuntu 22.04.4 LTS |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B550-F GAMING |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 4.95 GHz |
| Cluster 1 | 0 Cores |
| L1 Instruction Cache | 32.0 KB x 12 |
| L1 Data Cache | 32.0 KB x 12 |
| L2 Cache | 512 KB x 12 |
| L3 Cache | 32.0 MB x 2 |
| Memory Information | |
|---|---|
| Size | 62.69 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
80
15.0 IPS |
|
|
Image Classification (F16)
|
100% |
80
14.9 IPS |
|
|
Image Classification (I8)
|
97% |
59
11.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
107
1.79 IPS |
|
|
Image Segmentation (F16)
|
100% |
107
1.79 IPS |
|
|
Image Segmentation (I8)
|
98% |
77
1.28 IPS |
|
|
Pose Estimation (F32)
|
100% |
127
0.15 IPS |
|
|
Pose Estimation (F16)
|
100% |
127
0.15 IPS |
|
|
Pose Estimation (I8)
|
100% |
97
0.12 IPS |
|
|
Object Detection (F32)
|
100% |
83
6.21 IPS |
|
|
Object Detection (F16)
|
100% |
83
6.19 IPS |
|
|
Object Detection (I8)
|
68% |
61
4.56 IPS |
|
|
Face Detection (F32)
|
100% |
258
3.06 IPS |
|
|
Face Detection (F16)
|
100% |
257
3.06 IPS |
|
|
Face Detection (I8)
|
87% |
188
2.23 IPS |
|
|
Depth Estimation (F32)
|
100% |
188
1.46 IPS |
|
|
Depth Estimation (F16)
|
100% |
188
1.46 IPS |
|
|
Depth Estimation (I8)
|
95% |
139
1.07 IPS |
|
|
Style Transfer (F32)
|
100% |
388
0.51 IPS |
|
|
Style Transfer (F16)
|
100% |
386
0.51 IPS |
|
|
Style Transfer (I8)
|
98% |
298
0.39 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
89
3.17 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
89
3.17 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
65
2.33 IPS |
|
|
Text Classification (F32)
|
100% |
91
131.5 IPS |
|
|
Text Classification (F16)
|
100% |
91
130.8 IPS |
|
|
Text Classification (I8)
|
92% |
61
88.4 IPS |
|
|
Machine Translation (F32)
|
100% |
166
3.05 IPS |
|
|
Machine Translation (F16)
|
100% |
179
3.30 IPS |
|
|
Machine Translation (I8)
|
62% |
107
1.97 IPS |
