EpycAI GIGABYTE MZ32-001-A1
Geekbench AI Score
1927
Single Precision Score
396
Half Precision Score
2938
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | penguinhunter |
| Upload Date | February 21 2025 06:38 PM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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% |
609
113.3 IPS |
|
|
Image Classification (HP)
|
100% |
72
13.3 IPS |
|
|
Image Classification (Q)
|
94% |
2131
398.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1044
16.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
137
2.23 IPS |
|
|
Image Segmentation (Q)
|
98% |
1644
26.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
15586
18.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
3395
3.96 IPS |
|
|
Pose Estimation (Q)
|
86% |
14845
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
910
72.2 IPS |
|
|
Object Detection (HP)
|
100% |
118
9.38 IPS |
|
|
Object Detection (Q)
|
58% |
1824
199.3 IPS |
|
|
Face Detection (SP)
|
100% |
1782
21.2 IPS |
|
|
Face Detection (HP)
|
100% |
178
2.12 IPS |
|
|
Face Detection (Q)
|
96% |
5850
69.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4376
33.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
529
4.07 IPS |
|
|
Depth Estimation (Q)
|
78% |
6685
53.3 IPS |
|
|
Style Transfer (SP)
|
100% |
19437
25.0 IPS |
|
|
Style Transfer (HP)
|
100% |
8388
10.8 IPS |
|
|
Style Transfer (Q)
|
87% |
11455
14.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1139
42.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
903
33.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1273
47.2 IPS |
|
|
Text Classification (SP)
|
100% |
757
1.01 KIPS |
|
|
Text Classification (HP)
|
100% |
189
252.6 IPS |
|
|
Text Classification (Q)
|
97% |
587
786.8 IPS |
|
|
Machine Translation (SP)
|
100% |
602
10.4 IPS |
|
|
Machine Translation (HP)
|
100% |
179
3.09 IPS |
|
|
Machine Translation (Q)
|
68% |
1513
29.2 IPS |
