Gigabyte Technology Co., Ltd. B550M AORUS ELITE
Geekbench AI Score
3517
Single Precision Score
1504
Half Precision Score
5543
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 15 2025 12:21 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5700X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B550M AORUS ELITE |
| Motherboard | Gigabyte Technology Co., Ltd. B550M AORUS ELITE |
| Power Plan | Alto desempenho |
| 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% |
2984
554.9 IPS |
|
|
Image Classification (HP)
|
100% |
582
108.3 IPS |
|
|
Image Classification (Q)
|
96% |
4722
881.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1585
25.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
738
12.0 IPS |
|
|
Image Segmentation (Q)
|
97% |
6085
99.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4951
5.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
4085
4.77 IPS |
|
|
Pose Estimation (Q)
|
86% |
11143
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
2691
213.5 IPS |
|
|
Object Detection (HP)
|
100% |
720
57.1 IPS |
|
|
Object Detection (Q)
|
58% |
3422
373.9 IPS |
|
|
Face Detection (SP)
|
100% |
5401
64.2 IPS |
|
|
Face Detection (HP)
|
100% |
1489
17.7 IPS |
|
|
Face Detection (Q)
|
96% |
7926
94.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7394
57.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2078
16.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
10707
85.4 IPS |
|
|
Style Transfer (SP)
|
100% |
11856
15.2 IPS |
|
|
Style Transfer (HP)
|
100% |
9667
12.4 IPS |
|
|
Style Transfer (Q)
|
87% |
15656
20.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2317
85.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2064
76.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4214
156.2 IPS |
|
|
Text Classification (SP)
|
100% |
1712
2.29 KIPS |
|
|
Text Classification (HP)
|
100% |
850
1.13 KIPS |
|
|
Text Classification (Q)
|
97% |
1424
1.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
2449
42.2 IPS |
|
|
Machine Translation (HP)
|
100% |
896
15.4 IPS |
|
|
Machine Translation (Q)
|
68% |
3139
60.7 IPS |
