GIGABYTE G292-Z20-00
Geekbench AI Score
242
Single Precision Score
242
Half Precision Score
176
Quantized Score
Geekbench AI 1.2.0 for Linux x86 (64-bit)
Result Information
| User | abostudios |
| Upload Date | February 28 2025 07:58 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD EPYC 7K62 48-Core Processor |
| System Information | |
|---|---|
| Operating System | Ubuntu 22.04.5 LTS |
| Model | GIGABYTE G292-Z20-00 |
| Motherboard | GIGABYTE MZ22-G20-00 |
| CPU Information | |
|---|---|
| Name | AMD EPYC 7K62 48-Core Processor |
| Topology | 1 Processor, 48 Cores |
| Identifier | AuthenticAMD Family 23 Model 49 Stepping 0 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 251.56 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
129
24.0 IPS |
|
|
Image Classification (HP)
|
100% |
131
24.3 IPS |
|
|
Image Classification (Q)
|
97% |
104
19.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
234
3.79 IPS |
|
|
Image Segmentation (HP)
|
100% |
233
3.77 IPS |
|
|
Image Segmentation (Q)
|
98% |
162
2.63 IPS |
|
|
Pose Estimation (SP)
|
100% |
298
0.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
297
0.35 IPS |
|
|
Pose Estimation (Q)
|
96% |
255
0.30 IPS |
|
|
Object Detection (SP)
|
100% |
135
10.7 IPS |
|
|
Object Detection (HP)
|
100% |
137
10.8 IPS |
|
|
Object Detection (Q)
|
87% |
108
8.71 IPS |
|
|
Face Detection (SP)
|
100% |
445
5.29 IPS |
|
|
Face Detection (HP)
|
100% |
445
5.29 IPS |
|
|
Face Detection (Q)
|
97% |
316
3.77 IPS |
|
|
Depth Estimation (SP)
|
100% |
345
2.66 IPS |
|
|
Depth Estimation (HP)
|
99% |
346
2.66 IPS |
|
|
Depth Estimation (Q)
|
64% |
234
2.15 IPS |
|
|
Style Transfer (SP)
|
100% |
804
1.03 IPS |
|
|
Style Transfer (HP)
|
100% |
804
1.03 IPS |
|
|
Style Transfer (Q)
|
98% |
713
0.92 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
156
5.74 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
156
5.77 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
127
4.71 IPS |
|
|
Text Classification (SP)
|
100% |
108
144.6 IPS |
|
|
Text Classification (HP)
|
100% |
102
136.7 IPS |
|
|
Text Classification (Q)
|
91% |
77
103.2 IPS |
|
|
Machine Translation (SP)
|
100% |
283
4.87 IPS |
|
|
Machine Translation (HP)
|
100% |
284
4.89 IPS |
|
|
Machine Translation (Q)
|
58% |
123
2.94 IPS |
