ASUS System Product Name
Geekbench ML Score
1925
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Linux AVX2
Result Information
| User | tandemcykeln |
| Upload Date | August 16 2024 03:00 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% |
1404
262.7 IPS |
|
|
Image Classification (F16)
|
100% |
1479
276.7 IPS |
|
|
Image Classification (I8)
|
99% |
1005
188.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
2178
36.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
2158
36.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
1054
17.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
2754
3.34 IPS |
|
|
Pose Estimation (F16)
|
100% |
2699
3.27 IPS |
|
|
Pose Estimation (I8)
|
100% |
3437
4.16 IPS |
|
|
Object Detection (F32)
|
100% |
1597
119.2 IPS |
|
|
Object Detection (F16)
|
100% |
1601
119.5 IPS |
|
|
Object Detection (I8)
|
65% |
1199
89.5 IPS |
|
|
Face Detection (F32)
|
100% |
2694
32.0 IPS |
|
|
Face Detection (F16)
|
100% |
2692
32.0 IPS |
|
|
Face Detection (I8)
|
87% |
2370
28.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
2374
18.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
2372
18.4 IPS |
|
|
Depth Estimation (I8)
|
95% |
2393
18.6 IPS |
|
|
Style Transfer (F32)
|
100% |
3088
4.06 IPS |
|
|
Style Transfer (F16)
|
100% |
3043
4.00 IPS |
|
|
Style Transfer (I8)
|
98% |
5751
7.56 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1517
54.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1661
59.3 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1658
59.2 IPS |
|
|
Text Classification (F32)
|
100% |
1304
1.87 KIPS |
|
|
Text Classification (F16)
|
100% |
1306
1.88 KIPS |
|
|
Text Classification (I8)
|
92% |
621
892.2 IPS |
|
|
Machine Translation (F32)
|
100% |
2904
53.4 IPS |
|
|
Machine Translation (F16)
|
100% |
2961
54.5 IPS |
|
|
Machine Translation (I8)
|
62% |
892
16.4 IPS |
