Gigabyte Technology Co., Ltd. B450 I AORUS PRO WIFI
Geekbench AI Score
1901
Single Precision Score
891
Half Precision Score
2252
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | uehashu |
| Upload Date | August 10 2025 09:20 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 3600 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B450 I AORUS PRO WIFI |
| Motherboard | Gigabyte Technology Co., Ltd. B450 I AORUS PRO WIFI-CF |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 3600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1488
276.7 IPS |
|
|
Image Classification (HP)
|
100% |
347
64.6 IPS |
|
|
Image Classification (Q)
|
96% |
1920
358.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
770
12.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
397
6.43 IPS |
|
|
Image Segmentation (Q)
|
97% |
1405
22.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3351
3.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
2809
3.28 IPS |
|
|
Pose Estimation (Q)
|
86% |
3930
4.65 IPS |
|
|
Object Detection (SP)
|
100% |
1386
109.9 IPS |
|
|
Object Detection (HP)
|
100% |
428
34.0 IPS |
|
|
Object Detection (Q)
|
58% |
1373
150.0 IPS |
|
|
Face Detection (SP)
|
100% |
2791
33.2 IPS |
|
|
Face Detection (HP)
|
100% |
959
11.4 IPS |
|
|
Face Detection (Q)
|
96% |
4303
51.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4128
31.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1369
10.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
4297
34.3 IPS |
|
|
Style Transfer (SP)
|
100% |
7713
9.91 IPS |
|
|
Style Transfer (HP)
|
100% |
6260
8.05 IPS |
|
|
Style Transfer (Q)
|
87% |
7759
10.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1221
45.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1164
43.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1309
48.5 IPS |
|
|
Text Classification (SP)
|
100% |
834
1.11 KIPS |
|
|
Text Classification (HP)
|
100% |
413
551.1 IPS |
|
|
Text Classification (Q)
|
97% |
747
1.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
1283
22.1 IPS |
|
|
Machine Translation (HP)
|
100% |
484
8.33 IPS |
|
|
Machine Translation (Q)
|
68% |
1649
31.9 IPS |
