Giga Computing MZ73-LM0-000
Geekbench AI Score
113
Single Precision Score
115
Half Precision Score
165
Quantized Score
Geekbench AI 1.0.0 for Linux AVX2
Result Information
| Upload Date | August 19 2024 10:53 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD EPYC 9754 |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04 LTS |
| Model | Giga Computing MZ73-LM0-000 |
| Motherboard | Giga Computing MZ73-LM0-000 |
| CPU Information | |
|---|---|
| Name | AMD EPYC 9754 |
| Topology | 2 Processors, 256 Cores, 512 Threads |
| Identifier | AuthenticAMD Family 25 Model 160 Stepping 2 |
| Base Frequency | 3.10 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 5795.35 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
18
3.33 IPS |
|
|
Image Classification (HP)
|
100% |
21
3.96 IPS |
|
|
Image Classification (Q)
|
99% |
36
6.73 IPS |
|
|
Image Segmentation (SP)
|
100% |
124
2.02 IPS |
|
|
Image Segmentation (HP)
|
100% |
144
2.34 IPS |
|
|
Image Segmentation (Q)
|
98% |
186
3.03 IPS |
|
|
Pose Estimation (SP)
|
100% |
788
0.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
808
0.94 IPS |
|
|
Pose Estimation (Q)
|
96% |
1033
1.21 IPS |
|
|
Object Detection (SP)
|
100% |
42
3.34 IPS |
|
|
Object Detection (HP)
|
100% |
50
3.94 IPS |
|
|
Object Detection (Q)
|
86% |
43
3.46 IPS |
|
|
Face Detection (SP)
|
100% |
104
1.24 IPS |
|
|
Face Detection (HP)
|
100% |
130
1.55 IPS |
|
|
Face Detection (Q)
|
97% |
200
2.38 IPS |
|
|
Depth Estimation (SP)
|
100% |
134
1.03 IPS |
|
|
Depth Estimation (HP)
|
100% |
124
0.96 IPS |
|
|
Depth Estimation (Q)
|
74% |
160
1.30 IPS |
|
|
Style Transfer (SP)
|
100% |
1183
1.52 IPS |
|
|
Style Transfer (HP)
|
100% |
1246
1.60 IPS |
|
|
Style Transfer (Q)
|
98% |
2023
2.61 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
64
2.35 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
63
2.33 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
66
2.44 IPS |
|
|
Text Classification (SP)
|
100% |
115
153.8 IPS |
|
|
Text Classification (HP)
|
100% |
22
28.7 IPS |
|
|
Text Classification (Q)
|
92% |
168
226.3 IPS |
|
|
Machine Translation (SP)
|
100% |
39
0.68 IPS |
|
|
Machine Translation (HP)
|
100% |
122
2.10 IPS |
|
|
Machine Translation (Q)
|
58% |
71
1.67 IPS |
