Gigabyte Technology Co., Ltd. B550 AORUS MASTER
Geekbench AI Score
5652
Single Precision Score
5660
Half Precision Score
8489
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Poltava |
| Upload Date | August 26 2024 12:01 AM |
| Views | 21 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 5700X 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B550 AORUS MASTER |
| Motherboard | Gigabyte Technology Co., Ltd. B550 AORUS MASTER |
| Power Plan | Bitsum Highest Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4273
794.6 IPS |
|
|
Image Classification (HP)
|
100% |
4240
788.5 IPS |
|
|
Image Classification (Q)
|
100% |
5955
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2554
41.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2811
45.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
5725
93.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7750
9.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
7800
9.10 IPS |
|
|
Pose Estimation (Q)
|
94% |
16144
18.9 IPS |
|
|
Object Detection (SP)
|
100% |
3936
312.2 IPS |
|
|
Object Detection (HP)
|
100% |
3957
313.9 IPS |
|
|
Object Detection (Q)
|
87% |
6047
485.0 IPS |
|
|
Face Detection (SP)
|
100% |
9422
112.0 IPS |
|
|
Face Detection (HP)
|
100% |
9397
111.7 IPS |
|
|
Face Detection (Q)
|
97% |
17537
209.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9966
76.8 IPS |
|
|
Depth Estimation (HP)
|
100% |
9782
75.4 IPS |
|
|
Depth Estimation (Q)
|
79% |
17472
138.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22707
29.2 IPS |
|
|
Style Transfer (HP)
|
100% |
22893
29.4 IPS |
|
|
Style Transfer (Q)
|
98% |
45323
58.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4883
180.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4806
177.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
9088
336.6 IPS |
|
|
Text Classification (SP)
|
100% |
1874
2.50 KIPS |
|
|
Text Classification (HP)
|
100% |
1772
2.37 KIPS |
|
|
Text Classification (Q)
|
91% |
1467
1.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
5126
88.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5126
88.3 IPS |
|
|
Machine Translation (Q)
|
90% |
3154
54.8 IPS |
