GIGABYTE MZ32-AR0-00
Geekbench AI Score
1276
Single Precision Score
1268
Half Precision Score
992
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | kazk |
| Upload Date | April 30 2025 07:22 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| 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% |
976
181.5 IPS |
|
|
Image Classification (HP)
|
100% |
966
179.6 IPS |
|
|
Image Classification (Q)
|
99% |
671
125.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1775
28.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1757
28.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
856
13.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2161
2.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
2149
2.51 IPS |
|
|
Pose Estimation (Q)
|
96% |
3047
3.57 IPS |
|
|
Object Detection (SP)
|
100% |
907
72.0 IPS |
|
|
Object Detection (HP)
|
100% |
880
69.8 IPS |
|
|
Object Detection (Q)
|
85% |
820
66.0 IPS |
|
|
Face Detection (SP)
|
100% |
1667
19.8 IPS |
|
|
Face Detection (HP)
|
100% |
1656
19.7 IPS |
|
|
Face Detection (Q)
|
97% |
1049
12.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1302
10.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1288
9.92 IPS |
|
|
Depth Estimation (Q)
|
63% |
1202
11.3 IPS |
|
|
Style Transfer (SP)
|
100% |
2742
3.52 IPS |
|
|
Style Transfer (HP)
|
100% |
2769
3.56 IPS |
|
|
Style Transfer (Q)
|
98% |
4314
5.56 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
785
29.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
770
28.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1322
49.0 IPS |
|
|
Text Classification (SP)
|
100% |
390
520.6 IPS |
|
|
Text Classification (HP)
|
100% |
386
515.5 IPS |
|
|
Text Classification (Q)
|
92% |
232
311.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1856
32.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1907
32.9 IPS |
|
|
Machine Translation (Q)
|
58% |
388
9.10 IPS |
