GIGABYTE MZ32-AR0-00
Geekbench AI Score
8393
Single Precision Score
8527
Half Precision Score
11108
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | kazk |
| Upload Date | April 30 2025 07:30 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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% |
3971
738.5 IPS |
|
|
Image Classification (HP)
|
100% |
4003
744.3 IPS |
|
|
Image Classification (Q)
|
100% |
5532
1.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8747
141.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
8792
142.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
14751
239.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
20899
24.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
22070
25.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
36417
42.7 IPS |
|
|
Object Detection (SP)
|
100% |
4759
377.5 IPS |
|
|
Object Detection (HP)
|
100% |
4536
359.8 IPS |
|
|
Object Detection (Q)
|
87% |
6850
549.4 IPS |
|
|
Face Detection (SP)
|
100% |
12446
147.9 IPS |
|
|
Face Detection (HP)
|
100% |
12420
147.6 IPS |
|
|
Face Detection (Q)
|
97% |
23240
277.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
17570
135.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
17718
136.5 IPS |
|
|
Depth Estimation (Q)
|
81% |
24829
195.8 IPS |
|
|
Style Transfer (SP)
|
100% |
51430
66.1 IPS |
|
|
Style Transfer (HP)
|
100% |
59438
76.4 IPS |
|
|
Style Transfer (Q)
|
98% |
97625
125.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9008
332.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8967
331.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
13516
500.7 IPS |
|
|
Text Classification (SP)
|
100% |
1712
2.28 KIPS |
|
|
Text Classification (HP)
|
100% |
1645
2.20 KIPS |
|
|
Text Classification (Q)
|
91% |
621
834.3 IPS |
|
|
Machine Translation (SP)
|
100% |
2896
49.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2990
51.5 IPS |
|
|
Machine Translation (Q)
|
100% |
2973
51.2 IPS |
