Gigabyte Technology Co., Ltd. B550 AORUS ELITE V2
Geekbench AI Score
2904
Single Precision Score
1410
Half Precision Score
3594
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 02:44 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 5900X |
| 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 | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1409
262.0 IPS |
|
|
Image Classification (HP)
|
100% |
496
92.2 IPS |
|
|
Image Classification (Q)
|
96% |
3381
631.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1903
30.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
792
12.8 IPS |
|
|
Image Segmentation (Q)
|
97% |
2555
41.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6761
7.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
5271
6.15 IPS |
|
|
Pose Estimation (Q)
|
87% |
16922
20.0 IPS |
|
|
Object Detection (SP)
|
100% |
1818
144.2 IPS |
|
|
Object Detection (HP)
|
100% |
642
50.9 IPS |
|
|
Object Detection (Q)
|
86% |
1796
144.4 IPS |
|
|
Face Detection (SP)
|
100% |
2428
28.9 IPS |
|
|
Face Detection (HP)
|
100% |
1402
16.7 IPS |
|
|
Face Detection (Q)
|
96% |
4104
49.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6082
46.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2237
17.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
6816
54.6 IPS |
|
|
Style Transfer (SP)
|
100% |
15723
20.2 IPS |
|
|
Style Transfer (HP)
|
100% |
13342
17.2 IPS |
|
|
Style Transfer (Q)
|
87% |
16081
20.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2009
74.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1678
62.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3173
117.6 IPS |
|
|
Text Classification (SP)
|
100% |
1384
1.85 KIPS |
|
|
Text Classification (HP)
|
100% |
586
781.7 IPS |
|
|
Text Classification (Q)
|
97% |
441
591.2 IPS |
|
|
Machine Translation (SP)
|
100% |
2005
34.5 IPS |
|
|
Machine Translation (HP)
|
100% |
568
9.78 IPS |
|
|
Machine Translation (Q)
|
60% |
2181
48.7 IPS |
