Gigabyte Technology Co., Ltd. B550 AORUS ELITE
Geekbench AI Score
6920
Single Precision Score
6927
Half Precision Score
9286
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 22 2024 11:22 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B550 AORUS ELITE |
| Motherboard | Gigabyte Technology Co., Ltd. B550 AORUS ELITE |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3919
728.9 IPS |
|
|
Image Classification (HP)
|
100% |
4103
763.0 IPS |
|
|
Image Classification (Q)
|
100% |
6220
1.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5578
90.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
5472
88.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
9516
154.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11916
13.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
11666
13.6 IPS |
|
|
Pose Estimation (Q)
|
94% |
25280
29.7 IPS |
|
|
Object Detection (SP)
|
100% |
4455
353.4 IPS |
|
|
Object Detection (HP)
|
100% |
4142
328.6 IPS |
|
|
Object Detection (Q)
|
87% |
7040
564.7 IPS |
|
|
Face Detection (SP)
|
100% |
9528
113.2 IPS |
|
|
Face Detection (HP)
|
100% |
9708
115.4 IPS |
|
|
Face Detection (Q)
|
97% |
22622
269.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
12062
92.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
12097
93.2 IPS |
|
|
Depth Estimation (Q)
|
81% |
22725
179.4 IPS |
|
|
Style Transfer (SP)
|
100% |
34005
43.7 IPS |
|
|
Style Transfer (HP)
|
100% |
34372
44.2 IPS |
|
|
Style Transfer (Q)
|
98% |
73441
94.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6488
239.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6774
250.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
12788
473.7 IPS |
|
|
Text Classification (SP)
|
100% |
3038
4.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3080
4.11 KIPS |
|
|
Text Classification (Q)
|
91% |
334
448.8 IPS |
|
|
Machine Translation (SP)
|
100% |
2819
48.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2784
48.0 IPS |
|
|
Machine Translation (Q)
|
100% |
2809
48.4 IPS |
