EpycAI GIGABYTE MZ32-001-A1
Geekbench AI Score
1241
Single Precision Score
1236
Half Precision Score
950
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | penguinhunter |
| Upload Date | February 21 2025 06:31 PM |
| Views | 49 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD EPYC 7K62 48-Core Processor |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.1 LTS |
| Model | GIGABYTE MZ32-001-A1 |
| Motherboard | GIGABYTE MZ32-001-A1 |
| CPU Information | |
|---|---|
| Name | AMD EPYC 7K62 48-Core Processor |
| Topology | 1 Processor, 48 Cores, 96 Threads |
| Identifier | AuthenticAMD Family 23 Model 49 Stepping 0 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 503.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
947
176.1 IPS |
|
|
Image Classification (HP)
|
100% |
937
174.3 IPS |
|
|
Image Classification (Q)
|
99% |
651
121.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1659
26.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1627
26.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
753
12.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2070
2.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
2096
2.45 IPS |
|
|
Pose Estimation (Q)
|
96% |
2925
3.43 IPS |
|
|
Object Detection (SP)
|
100% |
892
70.8 IPS |
|
|
Object Detection (HP)
|
100% |
879
69.8 IPS |
|
|
Object Detection (Q)
|
85% |
815
65.6 IPS |
|
|
Face Detection (SP)
|
100% |
1533
18.2 IPS |
|
|
Face Detection (HP)
|
100% |
1525
18.1 IPS |
|
|
Face Detection (Q)
|
97% |
985
11.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1359
10.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1389
10.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
1178
11.0 IPS |
|
|
Style Transfer (SP)
|
100% |
2619
3.37 IPS |
|
|
Style Transfer (HP)
|
100% |
2668
3.43 IPS |
|
|
Style Transfer (Q)
|
98% |
3984
5.14 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
776
28.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
760
28.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1293
47.9 IPS |
|
|
Text Classification (SP)
|
100% |
399
532.1 IPS |
|
|
Text Classification (HP)
|
100% |
399
532.1 IPS |
|
|
Text Classification (Q)
|
92% |
226
303.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1773
30.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1734
29.9 IPS |
|
|
Machine Translation (Q)
|
58% |
380
8.91 IPS |
