Gigabyte Technology Co., Ltd. B550 AORUS ELITE
Geekbench AI Score
2458
Single Precision Score
702
Half Precision Score
3538
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | December 21 2024 09:31 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 5900X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B550 AORUS ELITE |
| Motherboard | Gigabyte Technology Co., Ltd. B550 AORUS ELITE |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1278
237.6 IPS |
|
|
Image Classification (HP)
|
100% |
136
25.3 IPS |
|
|
Image Classification (Q)
|
97% |
3117
581.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1500
24.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
217
3.52 IPS |
|
|
Image Segmentation (Q)
|
97% |
2760
44.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6200
7.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
4738
5.53 IPS |
|
|
Pose Estimation (Q)
|
87% |
14647
17.3 IPS |
|
|
Object Detection (SP)
|
100% |
1366
108.3 IPS |
|
|
Object Detection (HP)
|
100% |
185
14.7 IPS |
|
|
Object Detection (Q)
|
86% |
1520
122.2 IPS |
|
|
Face Detection (SP)
|
100% |
1944
23.1 IPS |
|
|
Face Detection (HP)
|
100% |
268
3.18 IPS |
|
|
Face Detection (Q)
|
96% |
3444
41.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5297
40.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
860
6.63 IPS |
|
|
Depth Estimation (Q)
|
76% |
6221
50.1 IPS |
|
|
Style Transfer (SP)
|
100% |
13331
17.1 IPS |
|
|
Style Transfer (HP)
|
100% |
11354
14.6 IPS |
|
|
Style Transfer (Q)
|
87% |
14150
18.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1739
64.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1552
57.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2468
91.4 IPS |
|
|
Text Classification (SP)
|
100% |
1297
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
529
706.4 IPS |
|
|
Text Classification (Q)
|
97% |
1089
1.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
1608
27.7 IPS |
|
|
Machine Translation (HP)
|
100% |
525
9.04 IPS |
|
|
Machine Translation (Q)
|
60% |
1973
44.0 IPS |
