Gigabyte Technology Co., Ltd. B450 AORUS ELITE
Geekbench AI Score
3022
Single Precision Score
2995
Half Precision Score
3321
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 23 2024 09:14 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 3600 6-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B450 AORUS ELITE |
| Motherboard | Gigabyte Technology Co., Ltd. B450 AORUS ELITE |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 3600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1921
357.3 IPS |
|
|
Image Classification (HP)
|
100% |
1941
360.9 IPS |
|
|
Image Classification (Q)
|
100% |
2031
377.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2063
33.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2038
33.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2327
37.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4533
5.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
4544
5.30 IPS |
|
|
Pose Estimation (Q)
|
94% |
5027
5.90 IPS |
|
|
Object Detection (SP)
|
100% |
1806
143.3 IPS |
|
|
Object Detection (HP)
|
100% |
1704
135.1 IPS |
|
|
Object Detection (Q)
|
87% |
2214
177.5 IPS |
|
|
Face Detection (SP)
|
100% |
3695
43.9 IPS |
|
|
Face Detection (HP)
|
100% |
3720
44.2 IPS |
|
|
Face Detection (Q)
|
97% |
6944
82.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5301
40.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
5315
40.9 IPS |
|
|
Depth Estimation (Q)
|
81% |
5783
45.6 IPS |
|
|
Style Transfer (SP)
|
100% |
12982
16.7 IPS |
|
|
Style Transfer (HP)
|
100% |
13040
16.8 IPS |
|
|
Style Transfer (Q)
|
98% |
14137
18.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2599
96.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2557
94.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2936
108.8 IPS |
|
|
Text Classification (SP)
|
100% |
1202
1.60 KIPS |
|
|
Text Classification (HP)
|
100% |
1201
1.60 KIPS |
|
|
Text Classification (Q)
|
91% |
763
1.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
2467
42.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2401
41.4 IPS |
|
|
Machine Translation (Q)
|
100% |
2444
42.1 IPS |
