Gigabyte Technology Co., Ltd. B650 AORUS ELITE AX
Geekbench AI Score
1311
Single Precision Score
403
Half Precision Score
3065
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| User | Afrosheenix |
| Upload Date | July 05 2025 12:13 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7800X3D |
| System Information | |
|---|---|
| Operating System | Garuda Linux |
| Model | Gigabyte Technology Co., Ltd. B650 AORUS ELITE AX |
| Motherboard | Gigabyte Technology Co., Ltd. B650 AORUS ELITE AX |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 5.05 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.40 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
515
95.7 IPS |
|
|
Image Classification (HP)
|
100% |
80
15.0 IPS |
|
|
Image Classification (Q)
|
97% |
1860
347.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
721
11.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
143
2.32 IPS |
|
|
Image Segmentation (Q)
|
99% |
1244
20.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2602
3.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
2155
2.51 IPS |
|
|
Pose Estimation (Q)
|
94% |
7987
9.36 IPS |
|
|
Object Detection (SP)
|
100% |
636
50.5 IPS |
|
|
Object Detection (HP)
|
100% |
112
8.89 IPS |
|
|
Object Detection (Q)
|
86% |
2575
206.9 IPS |
|
|
Face Detection (SP)
|
100% |
1566
18.6 IPS |
|
|
Face Detection (HP)
|
100% |
227
2.70 IPS |
|
|
Face Detection (Q)
|
97% |
4034
48.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2241
17.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
621
4.78 IPS |
|
|
Depth Estimation (Q)
|
78% |
4040
32.2 IPS |
|
|
Style Transfer (SP)
|
100% |
5921
7.61 IPS |
|
|
Style Transfer (HP)
|
100% |
4982
6.40 IPS |
|
|
Style Transfer (Q)
|
98% |
13305
17.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1171
43.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
706
26.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2253
83.4 IPS |
|
|
Text Classification (SP)
|
100% |
745
994.5 IPS |
|
|
Text Classification (HP)
|
100% |
244
325.8 IPS |
|
|
Text Classification (Q)
|
97% |
703
942.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1351
23.3 IPS |
|
|
Machine Translation (HP)
|
100% |
342
5.89 IPS |
|
|
Machine Translation (Q)
|
65% |
4488
90.2 IPS |
