Gigabyte Technology Co., Ltd. B450 AORUS ELITE
Geekbench AI Score
3784
Single Precision Score
3830
Half Precision Score
2724
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | March 13 2025 09:59 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 960 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B450 AORUS ELITE |
| Motherboard | Gigabyte Technology Co., Ltd. B450 AORUS ELITE |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 3600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.59 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1492
277.5 IPS |
|
|
Image Classification (HP)
|
100% |
1483
275.8 IPS |
|
|
Image Classification (Q)
|
99% |
1246
232.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2074
33.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2183
35.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1653
26.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
12942
15.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
12384
14.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
11306
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
1927
152.9 IPS |
|
|
Object Detection (HP)
|
100% |
2004
158.9 IPS |
|
|
Object Detection (Q)
|
83% |
1563
126.3 IPS |
|
|
Face Detection (SP)
|
100% |
3363
40.0 IPS |
|
|
Face Detection (HP)
|
100% |
3654
43.4 IPS |
|
|
Face Detection (Q)
|
97% |
2661
31.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7116
54.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
7059
54.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
5491
44.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22683
29.2 IPS |
|
|
Style Transfer (HP)
|
100% |
21708
27.9 IPS |
|
|
Style Transfer (Q)
|
98% |
18503
23.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5244
193.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5299
195.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3618
134.0 IPS |
|
|
Text Classification (SP)
|
100% |
1315
1.76 KIPS |
|
|
Text Classification (HP)
|
100% |
1367
1.82 KIPS |
|
|
Text Classification (Q)
|
97% |
710
950.5 IPS |
|
|
Machine Translation (SP)
|
100% |
2085
35.9 IPS |
|
|
Machine Translation (HP)
|
96% |
2085
36.1 IPS |
|
|
Machine Translation (Q)
|
70% |
892
16.7 IPS |
