ASUS System Product Name
Geekbench ML Score
190
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Linux x86 (64-bit)
Result Information
| Upload Date | January 19 2024 06:46 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Ubuntu 23.10 |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX X670E-I GAMING WIFI |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 5.88 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 | 62.50 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
126
23.6 IPS |
|
|
Image Classification (F16)
|
100% |
126
23.5 IPS |
|
|
Image Classification (I8)
|
97% |
96
18.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
170
2.84 IPS |
|
|
Image Segmentation (F16)
|
100% |
170
2.83 IPS |
|
|
Image Segmentation (I8)
|
98% |
123
2.05 IPS |
|
|
Pose Estimation (F32)
|
100% |
188
0.23 IPS |
|
|
Pose Estimation (F16)
|
100% |
188
0.23 IPS |
|
|
Pose Estimation (I8)
|
100% |
156
0.19 IPS |
|
|
Object Detection (F32)
|
100% |
128
9.57 IPS |
|
|
Object Detection (F16)
|
100% |
128
9.58 IPS |
|
|
Object Detection (I8)
|
68% |
101
7.51 IPS |
|
|
Face Detection (F32)
|
100% |
408
4.85 IPS |
|
|
Face Detection (F16)
|
100% |
408
4.85 IPS |
|
|
Face Detection (I8)
|
87% |
296
3.52 IPS |
|
|
Depth Estimation (F32)
|
100% |
281
2.18 IPS |
|
|
Depth Estimation (F16)
|
100% |
281
2.18 IPS |
|
|
Depth Estimation (I8)
|
95% |
223
1.73 IPS |
|
|
Style Transfer (F32)
|
100% |
558
0.73 IPS |
|
|
Style Transfer (F16)
|
100% |
558
0.73 IPS |
|
|
Style Transfer (I8)
|
98% |
474
0.62 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
130
4.62 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
130
4.63 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
103
3.68 IPS |
|
|
Text Classification (F32)
|
100% |
150
215.3 IPS |
|
|
Text Classification (F16)
|
100% |
149
213.8 IPS |
|
|
Text Classification (I8)
|
92% |
98
140.2 IPS |
|
|
Machine Translation (F32)
|
100% |
256
4.70 IPS |
|
|
Machine Translation (F16)
|
100% |
259
4.76 IPS |
|
|
Machine Translation (I8)
|
62% |
156
2.87 IPS |
