ASUS System Product Name
Geekbench ML Score
1901
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Linux AVX2
Result Information
| User | tandemcykeln |
| Upload Date | August 16 2024 02:58 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% |
1400
262.0 IPS |
|
|
Image Classification (F16)
|
100% |
1386
259.4 IPS |
|
|
Image Classification (I8)
|
99% |
999
187.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
2160
36.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
2166
36.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
1071
17.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
2799
3.39 IPS |
|
|
Pose Estimation (F16)
|
100% |
2784
3.37 IPS |
|
|
Pose Estimation (I8)
|
100% |
3457
4.19 IPS |
|
|
Object Detection (F32)
|
100% |
1346
100.5 IPS |
|
|
Object Detection (F16)
|
100% |
1557
116.2 IPS |
|
|
Object Detection (I8)
|
65% |
992
74.1 IPS |
|
|
Face Detection (F32)
|
100% |
2735
32.5 IPS |
|
|
Face Detection (F16)
|
100% |
2705
32.2 IPS |
|
|
Face Detection (I8)
|
87% |
2385
28.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
2434
18.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
2429
18.8 IPS |
|
|
Depth Estimation (I8)
|
95% |
2396
18.6 IPS |
|
|
Style Transfer (F32)
|
100% |
3000
3.95 IPS |
|
|
Style Transfer (F16)
|
100% |
3021
3.97 IPS |
|
|
Style Transfer (I8)
|
98% |
5863
7.71 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1672
59.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1674
59.8 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1660
59.3 IPS |
|
|
Text Classification (F32)
|
100% |
1332
1.91 KIPS |
|
|
Text Classification (F16)
|
100% |
1124
1.62 KIPS |
|
|
Text Classification (I8)
|
92% |
626
899.2 IPS |
|
|
Machine Translation (F32)
|
100% |
2889
53.2 IPS |
|
|
Machine Translation (F16)
|
100% |
2888
53.2 IPS |
|
|
Machine Translation (I8)
|
62% |
897
16.5 IPS |
