Gigabyte Technology Co., Ltd. B650M AORUS ELITE AX
Geekbench AI Score
1702
Single Precision Score
1880
Half Precision Score
1409
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | rothomp3 |
| Upload Date | August 22 2025 02:29 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B650M AORUS ELITE AX |
| Motherboard | Gigabyte Technology Co., Ltd. B650M AORUS ELITE AX |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
599
111.4 IPS |
|
|
Image Classification (HP)
|
100% |
615
114.3 IPS |
|
|
Image Classification (Q)
|
100% |
594
110.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
992
16.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
581
9.42 IPS |
|
|
Image Segmentation (Q)
|
98% |
877
14.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5972
6.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
9817
11.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
5146
6.03 IPS |
|
|
Object Detection (SP)
|
100% |
627
49.8 IPS |
|
|
Object Detection (HP)
|
100% |
629
49.9 IPS |
|
|
Object Detection (Q)
|
87% |
601
48.3 IPS |
|
|
Face Detection (SP)
|
100% |
1964
23.3 IPS |
|
|
Face Detection (HP)
|
100% |
1981
23.5 IPS |
|
|
Face Detection (Q)
|
97% |
1777
21.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3261
25.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3968
30.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
2892
23.2 IPS |
|
|
Style Transfer (SP)
|
100% |
9773
12.6 IPS |
|
|
Style Transfer (HP)
|
100% |
14072
18.1 IPS |
|
|
Style Transfer (Q)
|
98% |
8510
11.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2536
93.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3377
124.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1914
70.9 IPS |
|
|
Text Classification (SP)
|
100% |
646
862.6 IPS |
|
|
Text Classification (HP)
|
100% |
701
935.8 IPS |
|
|
Text Classification (Q)
|
97% |
465
623.3 IPS |
|
|
Machine Translation (SP)
|
100% |
897
15.5 IPS |
|
|
Machine Translation (HP)
|
100% |
955
16.5 IPS |
|
|
Machine Translation (Q)
|
70% |
494
9.26 IPS |
