GIGABYTE MZ32-AR0-00
Geekbench AI Score
1837
Single Precision Score
420
Half Precision Score
2961
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | kazk |
| Upload Date | April 30 2025 07:28 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD EPYC 7B12 64-Core Processor |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.2 LTS |
| Model | GIGABYTE MZ32-AR0-00 |
| Motherboard | GIGABYTE MZ32-AR0-00 |
| CPU Information | |
|---|---|
| Name | AMD EPYC 7B12 64-Core Processor |
| Topology | 1 Processor, 64 Cores, 128 Threads |
| Identifier | AuthenticAMD Family 23 Model 49 Stepping 0 |
| Base Frequency | 2.25 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 251.53 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
528
98.1 IPS |
|
|
Image Classification (HP)
|
100% |
79
14.7 IPS |
|
|
Image Classification (Q)
|
94% |
1828
341.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
996
16.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
141
2.29 IPS |
|
|
Image Segmentation (Q)
|
98% |
1567
25.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
15165
17.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
3349
3.91 IPS |
|
|
Pose Estimation (Q)
|
86% |
16065
19.0 IPS |
|
|
Object Detection (SP)
|
100% |
857
68.0 IPS |
|
|
Object Detection (HP)
|
100% |
129
10.2 IPS |
|
|
Object Detection (Q)
|
58% |
1731
189.2 IPS |
|
|
Face Detection (SP)
|
100% |
1798
21.4 IPS |
|
|
Face Detection (HP)
|
100% |
171
2.03 IPS |
|
|
Face Detection (Q)
|
96% |
5773
68.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4282
33.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
561
4.32 IPS |
|
|
Depth Estimation (Q)
|
78% |
7161
57.1 IPS |
|
|
Style Transfer (SP)
|
100% |
20387
26.2 IPS |
|
|
Style Transfer (HP)
|
100% |
8201
10.5 IPS |
|
|
Style Transfer (Q)
|
87% |
12434
16.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1154
42.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1113
41.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1228
45.5 IPS |
|
|
Text Classification (SP)
|
100% |
733
977.8 IPS |
|
|
Text Classification (HP)
|
100% |
204
271.8 IPS |
|
|
Text Classification (Q)
|
97% |
560
750.3 IPS |
|
|
Machine Translation (SP)
|
100% |
483
8.32 IPS |
|
|
Machine Translation (HP)
|
100% |
199
3.43 IPS |
|
|
Machine Translation (Q)
|
68% |
1841
35.6 IPS |
