Gigabyte Technology Co., Ltd. B450 AORUS M
Geekbench AI Score
15532
Single Precision Score
24807
Half Precision Score
10355
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | renansoares |
| Upload Date | October 31 2024 06:25 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 Ti |
| 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% |
6440
1.20 KIPS |
|
|
Image Classification (HP)
|
99% |
9661
1.80 KIPS |
|
|
Image Classification (Q)
|
100% |
4683
870.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
9404
152.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
12887
208.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
7828
127.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
92569
108.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
250632
292.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
74887
87.7 IPS |
|
|
Object Detection (SP)
|
100% |
7690
610.0 IPS |
|
|
Object Detection (HP)
|
100% |
12123
961.6 IPS |
|
|
Object Detection (Q)
|
88% |
5484
439.8 IPS |
|
|
Face Detection (SP)
|
100% |
17127
203.5 IPS |
|
|
Face Detection (HP)
|
100% |
24943
296.4 IPS |
|
|
Face Detection (Q)
|
97% |
13042
155.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
38616
297.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
72358
557.5 IPS |
|
|
Depth Estimation (Q)
|
76% |
25823
208.1 IPS |
|
|
Style Transfer (SP)
|
100% |
148761
191.2 IPS |
|
|
Style Transfer (HP)
|
100% |
357203
459.2 IPS |
|
|
Style Transfer (Q)
|
98% |
119497
154.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27180
1.00 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
36231
1.34 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
16305
603.8 IPS |
|
|
Text Classification (SP)
|
100% |
2329
3.11 KIPS |
|
|
Text Classification (HP)
|
99% |
3230
4.31 KIPS |
|
|
Text Classification (Q)
|
97% |
1253
1.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
3045
52.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3093
53.3 IPS |
|
|
Machine Translation (Q)
|
60% |
1146
25.6 IPS |
