Gigabyte Technology Co., Ltd. B660M AORUS PRO DDR4
Geekbench AI Score
13846
Single Precision Score
23567
Half Precision Score
9144
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 19 2024 06:49 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B660M AORUS PRO DDR4 |
| Motherboard | Gigabyte Technology Co., Ltd. B660M AORUS PRO DDR4 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12400 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 5 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5660
1.05 KIPS |
|
|
Image Classification (HP)
|
99% |
9172
1.71 KIPS |
|
|
Image Classification (Q)
|
100% |
4153
772.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
9305
150.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
14078
228.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
7531
122.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
70563
82.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
182215
212.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
58644
68.7 IPS |
|
|
Object Detection (SP)
|
100% |
6900
547.3 IPS |
|
|
Object Detection (HP)
|
100% |
12359
980.3 IPS |
|
|
Object Detection (Q)
|
89% |
4932
394.8 IPS |
|
|
Face Detection (SP)
|
100% |
15303
181.8 IPS |
|
|
Face Detection (HP)
|
100% |
24134
286.8 IPS |
|
|
Face Detection (Q)
|
97% |
11526
137.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
32337
249.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
63672
491.9 IPS |
|
|
Depth Estimation (Q)
|
76% |
21793
175.6 IPS |
|
|
Style Transfer (SP)
|
100% |
116795
150.1 IPS |
|
|
Style Transfer (HP)
|
100% |
298007
383.1 IPS |
|
|
Style Transfer (Q)
|
98% |
94293
121.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20898
771.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34507
1.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
13560
502.1 IPS |
|
|
Text Classification (SP)
|
100% |
2477
3.31 KIPS |
|
|
Text Classification (HP)
|
99% |
3294
4.40 KIPS |
|
|
Text Classification (Q)
|
97% |
1180
1.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
3376
58.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3492
60.1 IPS |
|
|
Machine Translation (Q)
|
60% |
1193
26.6 IPS |
