Gigabyte Technology Co., Ltd. B450 AORUS ELITE
Geekbench AI Score
1663
Single Precision Score
873
Half Precision Score
1657
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 23 2024 09:18 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 3600 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B450 AORUS ELITE |
| Motherboard | Gigabyte Technology Co., Ltd. B450 AORUS ELITE |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 3600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
881
163.9 IPS |
|
|
Image Classification (HP)
|
100% |
329
61.1 IPS |
|
|
Image Classification (Q)
|
96% |
1431
267.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1118
18.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
531
8.61 IPS |
|
|
Image Segmentation (Q)
|
97% |
1126
18.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3207
3.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
2646
3.09 IPS |
|
|
Pose Estimation (Q)
|
87% |
3904
4.61 IPS |
|
|
Object Detection (SP)
|
100% |
1001
79.4 IPS |
|
|
Object Detection (HP)
|
100% |
402
31.9 IPS |
|
|
Object Detection (Q)
|
86% |
906
72.8 IPS |
|
|
Face Detection (SP)
|
100% |
1504
17.9 IPS |
|
|
Face Detection (HP)
|
100% |
904
10.7 IPS |
|
|
Face Detection (Q)
|
96% |
2215
26.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3485
26.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1309
10.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
3130
25.1 IPS |
|
|
Style Transfer (SP)
|
100% |
7484
9.62 IPS |
|
|
Style Transfer (HP)
|
100% |
6070
7.80 IPS |
|
|
Style Transfer (Q)
|
87% |
7442
9.69 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1218
45.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1100
40.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1308
48.5 IPS |
|
|
Text Classification (SP)
|
100% |
883
1.18 KIPS |
|
|
Text Classification (HP)
|
100% |
401
535.4 IPS |
|
|
Text Classification (Q)
|
97% |
324
433.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1216
20.9 IPS |
|
|
Machine Translation (HP)
|
100% |
439
7.57 IPS |
|
|
Machine Translation (Q)
|
60% |
1257
28.0 IPS |
