Gigabyte Technology Co., Ltd. B550 AORUS ELITE V2
Geekbench AI Score
4556
Single Precision Score
1827
Half Precision Score
4522
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 27 2024 12:34 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5800X3D |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B550 AORUS ELITE V2 |
| Motherboard | Gigabyte Technology Co., Ltd. B550 AORUS ELITE V2 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800X3D |
| Topology | 1 Processor, 8 Cores |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3467
644.8 IPS |
|
|
Image Classification (HP)
|
100% |
675
125.5 IPS |
|
|
Image Classification (Q)
|
96% |
5074
947.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2233
36.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
925
15.0 IPS |
|
|
Image Segmentation (Q)
|
97% |
2204
35.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6926
8.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
5697
6.65 IPS |
|
|
Pose Estimation (Q)
|
86% |
12898
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
3363
266.7 IPS |
|
|
Object Detection (HP)
|
100% |
886
70.3 IPS |
|
|
Object Detection (Q)
|
58% |
2858
312.2 IPS |
|
|
Face Detection (SP)
|
100% |
9660
114.8 IPS |
|
|
Face Detection (HP)
|
100% |
2010
23.9 IPS |
|
|
Face Detection (Q)
|
96% |
8380
100.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9216
71.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2628
20.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
13225
105.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17197
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
13931
17.9 IPS |
|
|
Style Transfer (Q)
|
87% |
18650
24.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2941
108.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2546
94.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3376
125.1 IPS |
|
|
Text Classification (SP)
|
100% |
1687
2.25 KIPS |
|
|
Text Classification (HP)
|
100% |
804
1.07 KIPS |
|
|
Text Classification (Q)
|
97% |
436
584.1 IPS |
|
|
Machine Translation (SP)
|
100% |
2815
48.5 IPS |
|
|
Machine Translation (HP)
|
100% |
876
15.1 IPS |
|
|
Machine Translation (Q)
|
68% |
2857
55.2 IPS |
