Gigabyte Technology Co., Ltd. B550M AORUS ELITE
Geekbench AI Score
1821
Single Precision Score
871
Half Precision Score
2180
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | kripo |
| Upload Date | March 06 2025 05:47 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 3700X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B550M AORUS ELITE |
| Motherboard | Gigabyte Technology Co., Ltd. B550M AORUS ELITE |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 3700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1230
228.7 IPS |
|
|
Image Classification (HP)
|
100% |
321
59.7 IPS |
|
|
Image Classification (Q)
|
96% |
2147
401.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
764
12.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
414
6.71 IPS |
|
|
Image Segmentation (Q)
|
97% |
1231
20.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3269
3.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
2619
3.06 IPS |
|
|
Pose Estimation (Q)
|
86% |
4531
5.36 IPS |
|
|
Object Detection (SP)
|
100% |
1254
99.5 IPS |
|
|
Object Detection (HP)
|
100% |
400
31.8 IPS |
|
|
Object Detection (Q)
|
58% |
1305
142.6 IPS |
|
|
Face Detection (SP)
|
100% |
2527
30.0 IPS |
|
|
Face Detection (HP)
|
100% |
868
10.3 IPS |
|
|
Face Detection (Q)
|
96% |
4580
54.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4202
32.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1413
10.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
5201
41.5 IPS |
|
|
Style Transfer (SP)
|
100% |
8116
10.4 IPS |
|
|
Style Transfer (HP)
|
100% |
6705
8.62 IPS |
|
|
Style Transfer (Q)
|
87% |
8578
11.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1239
45.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1166
43.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1459
54.1 IPS |
|
|
Text Classification (SP)
|
100% |
893
1.19 KIPS |
|
|
Text Classification (HP)
|
100% |
432
576.2 IPS |
|
|
Text Classification (Q)
|
97% |
341
456.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1094
18.8 IPS |
|
|
Machine Translation (HP)
|
100% |
436
7.51 IPS |
|
|
Machine Translation (Q)
|
68% |
1529
29.5 IPS |
