Gigabyte Technology Co., Ltd. B450 I AORUS PRO WIFI
Geekbench AI Score
3958
Single Precision Score
3973
Half Precision Score
7241
Quantized Score
Geekbench AI 1.0.0 Corporate for Windows AVX2
Result Information
| Upload Date | August 11 2024 08:40 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 5700G with Radeon Graphics |
| 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 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700G |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2824
525.1 IPS |
|
|
Image Classification (HP)
|
100% |
2877
535.0 IPS |
|
|
Image Classification (Q)
|
100% |
5405
1.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2345
38.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2315
37.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4308
70.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5863
6.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
5859
6.84 IPS |
|
|
Pose Estimation (Q)
|
94% |
14300
16.8 IPS |
|
|
Object Detection (SP)
|
100% |
2655
210.6 IPS |
|
|
Object Detection (HP)
|
100% |
2620
207.8 IPS |
|
|
Object Detection (Q)
|
87% |
5295
424.7 IPS |
|
|
Face Detection (SP)
|
100% |
4349
51.7 IPS |
|
|
Face Detection (HP)
|
100% |
4430
52.6 IPS |
|
|
Face Detection (Q)
|
97% |
14261
170.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7216
55.6 IPS |
|
|
Depth Estimation (HP)
|
100% |
7001
53.9 IPS |
|
|
Depth Estimation (Q)
|
79% |
14522
115.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16586
21.3 IPS |
|
|
Style Transfer (HP)
|
100% |
16563
21.3 IPS |
|
|
Style Transfer (Q)
|
98% |
40523
52.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3352
123.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3342
123.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
8263
306.1 IPS |
|
|
Text Classification (SP)
|
100% |
1394
1.86 KIPS |
|
|
Text Classification (HP)
|
100% |
1471
1.96 KIPS |
|
|
Text Classification (Q)
|
91% |
1220
1.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
3767
64.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3796
65.4 IPS |
|
|
Machine Translation (Q)
|
90% |
2660
46.2 IPS |
