Gigabyte Technology Co., Ltd. B550 AORUS ELITE
Geekbench AI Score
4761
Single Precision Score
1663
Half Precision Score
6313
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 26 2024 11:31 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X |
| 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% |
3647
678.3 IPS |
|
|
Image Classification (HP)
|
100% |
571
106.2 IPS |
|
|
Image Classification (Q)
|
96% |
6232
1.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1949
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
791
12.8 IPS |
|
|
Image Segmentation (Q)
|
97% |
3273
53.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
12103
14.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
7297
8.51 IPS |
|
|
Pose Estimation (Q)
|
86% |
22394
26.5 IPS |
|
|
Object Detection (SP)
|
100% |
3680
291.9 IPS |
|
|
Object Detection (HP)
|
100% |
717
56.8 IPS |
|
|
Object Detection (Q)
|
58% |
4597
502.3 IPS |
|
|
Face Detection (SP)
|
100% |
7019
83.4 IPS |
|
|
Face Detection (HP)
|
100% |
1595
18.9 IPS |
|
|
Face Detection (Q)
|
96% |
9862
117.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
12041
92.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2553
19.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
15886
126.8 IPS |
|
|
Style Transfer (SP)
|
100% |
24679
31.7 IPS |
|
|
Style Transfer (HP)
|
100% |
20563
26.4 IPS |
|
|
Style Transfer (Q)
|
87% |
23115
30.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2659
98.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1940
71.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3290
121.9 IPS |
|
|
Text Classification (SP)
|
100% |
1407
1.88 KIPS |
|
|
Text Classification (HP)
|
100% |
652
869.9 IPS |
|
|
Text Classification (Q)
|
97% |
1361
1.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
2423
41.7 IPS |
|
|
Machine Translation (HP)
|
100% |
650
11.2 IPS |
|
|
Machine Translation (Q)
|
68% |
2954
57.1 IPS |
