Gigabyte Technology Co., Ltd. B660M AORUS PRO DDR4
Geekbench AI Score
4039
Single Precision Score
1570
Half Precision Score
5577
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | angelolins |
| Upload Date | January 14 2025 08:35 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-12700K |
| 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 | Equilibrado |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700K |
| Topology | 1 Processor, 12 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3393
631.1 IPS |
|
|
Image Classification (HP)
|
100% |
564
104.8 IPS |
|
|
Image Classification (Q)
|
99% |
6445
1.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1780
28.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
972
15.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2739
44.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7335
8.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
4441
5.18 IPS |
|
|
Pose Estimation (Q)
|
94% |
24480
28.7 IPS |
|
|
Object Detection (SP)
|
100% |
2886
228.9 IPS |
|
|
Object Detection (HP)
|
100% |
716
56.8 IPS |
|
|
Object Detection (Q)
|
86% |
4958
398.5 IPS |
|
|
Face Detection (SP)
|
100% |
6156
73.1 IPS |
|
|
Face Detection (HP)
|
100% |
1628
19.3 IPS |
|
|
Face Detection (Q)
|
97% |
8564
102.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9115
70.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2152
16.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
14444
115.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16654
21.4 IPS |
|
|
Style Transfer (HP)
|
100% |
11322
14.6 IPS |
|
|
Style Transfer (Q)
|
98% |
18402
23.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3027
111.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2133
78.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4399
162.9 IPS |
|
|
Text Classification (SP)
|
100% |
1691
2.26 KIPS |
|
|
Text Classification (HP)
|
100% |
813
1.09 KIPS |
|
|
Text Classification (Q)
|
97% |
530
709.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1893
32.6 IPS |
|
|
Machine Translation (HP)
|
100% |
759
13.1 IPS |
|
|
Machine Translation (Q)
|
65% |
2560
51.4 IPS |
