Gigabyte Technology Co., Ltd. B650M AORUS ELITE AX
Geekbench AI Score
5624
Single Precision Score
2260
Half Precision Score
10456
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | deker |
| Upload Date | October 17 2025 11:00 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7800X3D |
| 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 | ChrisTitus - Ultimate Power Plan |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4606
856.6 IPS |
|
|
Image Classification (HP)
|
100% |
816
151.7 IPS |
|
|
Image Classification (Q)
|
99% |
9134
1.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2556
41.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1117
18.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
11321
184.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7689
8.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
6533
7.62 IPS |
|
|
Pose Estimation (Q)
|
94% |
25281
29.6 IPS |
|
|
Object Detection (SP)
|
100% |
4516
358.2 IPS |
|
|
Object Detection (HP)
|
100% |
1047
83.0 IPS |
|
|
Object Detection (Q)
|
86% |
9459
760.2 IPS |
|
|
Face Detection (SP)
|
100% |
11532
137.0 IPS |
|
|
Face Detection (HP)
|
100% |
2453
29.1 IPS |
|
|
Face Detection (Q)
|
97% |
11908
142.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
11143
85.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3172
24.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
22676
180.9 IPS |
|
|
Style Transfer (SP)
|
100% |
19491
25.1 IPS |
|
|
Style Transfer (HP)
|
100% |
16398
21.1 IPS |
|
|
Style Transfer (Q)
|
98% |
35343
45.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3290
121.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2978
109.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7165
265.3 IPS |
|
|
Text Classification (SP)
|
100% |
2492
3.33 KIPS |
|
|
Text Classification (HP)
|
100% |
1157
1.54 KIPS |
|
|
Text Classification (Q)
|
97% |
1912
2.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
3777
65.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1269
21.9 IPS |
|
|
Machine Translation (Q)
|
65% |
4832
97.1 IPS |
