Gigabyte Technology Co., Ltd. B550 AORUS ELITE V2
Geekbench AI Score
3061
Single Precision Score
1491
Half Precision Score
3210
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 02:32 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 5600X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B550 AORUS ELITE V2 |
| Motherboard | Gigabyte Technology Co., Ltd. B550 AORUS ELITE V2 |
| Power Plan | Hchstleistung |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1927
358.4 IPS |
|
|
Image Classification (HP)
|
100% |
563
104.6 IPS |
|
|
Image Classification (Q)
|
96% |
3288
614.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1828
29.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
900
14.6 IPS |
|
|
Image Segmentation (Q)
|
97% |
1909
31.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5037
5.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
4111
4.80 IPS |
|
|
Pose Estimation (Q)
|
87% |
9812
11.6 IPS |
|
|
Object Detection (SP)
|
100% |
2103
166.8 IPS |
|
|
Object Detection (HP)
|
100% |
733
58.1 IPS |
|
|
Object Detection (Q)
|
86% |
2063
165.8 IPS |
|
|
Face Detection (SP)
|
100% |
2585
30.7 IPS |
|
|
Face Detection (HP)
|
100% |
1556
18.5 IPS |
|
|
Face Detection (Q)
|
96% |
3967
47.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6046
46.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2191
16.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
5589
44.7 IPS |
|
|
Style Transfer (SP)
|
100% |
12266
15.8 IPS |
|
|
Style Transfer (HP)
|
100% |
10488
13.5 IPS |
|
|
Style Transfer (Q)
|
87% |
13784
17.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2429
89.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2019
74.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3112
115.3 IPS |
|
|
Text Classification (SP)
|
100% |
1747
2.33 KIPS |
|
|
Text Classification (HP)
|
100% |
725
968.3 IPS |
|
|
Text Classification (Q)
|
97% |
434
581.6 IPS |
|
|
Machine Translation (SP)
|
100% |
2382
41.0 IPS |
|
|
Machine Translation (HP)
|
100% |
682
11.7 IPS |
|
|
Machine Translation (Q)
|
60% |
2220
49.5 IPS |
