Gigabyte Technology Co., Ltd. B450 AORUS M
Geekbench AI Score
1813
Single Precision Score
950
Half Precision Score
1843
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | renansoares |
| Upload Date | October 31 2024 06:18 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 3600XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B450 AORUS M |
| Motherboard | Gigabyte Technology Co., Ltd. B450 AORUS M |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 3600XT |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
982
182.6 IPS |
|
|
Image Classification (HP)
|
100% |
359
66.8 IPS |
|
|
Image Classification (Q)
|
96% |
1619
302.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
817
13.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
432
7.00 IPS |
|
|
Image Segmentation (Q)
|
97% |
1234
20.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3888
4.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
3218
3.75 IPS |
|
|
Pose Estimation (Q)
|
87% |
4588
5.42 IPS |
|
|
Object Detection (SP)
|
100% |
1140
90.4 IPS |
|
|
Object Detection (HP)
|
100% |
447
35.4 IPS |
|
|
Object Detection (Q)
|
86% |
1048
84.3 IPS |
|
|
Face Detection (SP)
|
100% |
1691
20.1 IPS |
|
|
Face Detection (HP)
|
100% |
987
11.7 IPS |
|
|
Face Detection (Q)
|
96% |
2418
28.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4209
32.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1477
11.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
3466
27.7 IPS |
|
|
Style Transfer (SP)
|
100% |
9007
11.6 IPS |
|
|
Style Transfer (HP)
|
100% |
7435
9.56 IPS |
|
|
Style Transfer (Q)
|
87% |
8503
11.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1385
51.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1331
49.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1487
55.1 IPS |
|
|
Text Classification (SP)
|
100% |
936
1.25 KIPS |
|
|
Text Classification (HP)
|
100% |
399
533.1 IPS |
|
|
Text Classification (Q)
|
97% |
342
457.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1299
22.4 IPS |
|
|
Machine Translation (HP)
|
100% |
467
8.05 IPS |
|
|
Machine Translation (Q)
|
60% |
1305
29.1 IPS |
