Giga Computing MZ73-LM0-000
Geekbench ML Score
938
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Linux AVX2
Result Information
| Upload Date | October 21 2024 10:27 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Gentoo Linux |
| Model | Giga Computing MZ73-LM0-000 |
| Motherboard | Giga Computing MZ73-LM0-000 |
| CPU Information | |
|---|---|
| Name | AMD EPYC 9654 |
| Topology | 2 Processors, 192 Cores, 384 Threads |
| Identifier | AuthenticAMD Family 25 Model 17 Stepping 1 |
| Base Frequency | 3.71 GHz |
| Cluster 1 | 0 Cores |
| L1 Instruction Cache | 32.0 KB x 96 |
| L1 Data Cache | 32.0 KB x 96 |
| L2 Cache | 1.00 MB x 96 |
| L3 Cache | 16.0 MB x 12 |
| Memory Information | |
|---|---|
| Size | 125.46 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
444
83.0 IPS |
|
|
Image Classification (F16)
|
100% |
430
80.5 IPS |
|
|
Image Classification (I8)
|
99% |
507
95.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1600
26.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1612
26.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
1142
19.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
1571
1.90 IPS |
|
|
Pose Estimation (F16)
|
100% |
1642
1.99 IPS |
|
|
Pose Estimation (I8)
|
100% |
3464
4.19 IPS |
|
|
Object Detection (F32)
|
100% |
737
55.0 IPS |
|
|
Object Detection (F16)
|
100% |
740
55.3 IPS |
|
|
Object Detection (I8)
|
65% |
963
71.9 IPS |
|
|
Face Detection (F32)
|
100% |
901
10.7 IPS |
|
|
Face Detection (F16)
|
100% |
921
10.9 IPS |
|
|
Face Detection (I8)
|
87% |
1565
18.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
835
6.47 IPS |
|
|
Depth Estimation (F16)
|
100% |
791
6.13 IPS |
|
|
Depth Estimation (I8)
|
95% |
1367
10.6 IPS |
|
|
Style Transfer (F32)
|
100% |
1488
1.96 IPS |
|
|
Style Transfer (F16)
|
100% |
1857
2.44 IPS |
|
|
Style Transfer (I8)
|
98% |
4103
5.40 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
408
14.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
392
14.0 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
756
27.0 IPS |
|
|
Text Classification (F32)
|
100% |
445
639.3 IPS |
|
|
Text Classification (F16)
|
100% |
435
625.5 IPS |
|
|
Text Classification (I8)
|
92% |
311
447.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1398
25.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1290
23.7 IPS |
|
|
Machine Translation (I8)
|
62% |
646
11.9 IPS |
