Gigabyte Technology Co., Ltd. B650 AORUS ELITE AX V2
Geekbench AI Score
7944
Single Precision Score
3074
Half Precision Score
9647
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Katsumis |
| Upload Date | April 08 2025 08:46 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 9600X 6-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B650 AORUS ELITE AX V2 |
| Motherboard | Gigabyte Technology Co., Ltd. B650 AORUS ELITE AX V2 |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 9600X 6-Core Processor |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6851
1.27 KIPS |
|
|
Image Classification (HP)
|
100% |
1136
211.3 IPS |
|
|
Image Classification (Q)
|
99% |
12716
2.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3190
51.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1701
27.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3373
54.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
13456
15.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
10579
12.3 IPS |
|
|
Pose Estimation (Q)
|
94% |
43331
50.8 IPS |
|
|
Object Detection (SP)
|
100% |
6411
508.5 IPS |
|
|
Object Detection (HP)
|
100% |
1483
117.7 IPS |
|
|
Object Detection (Q)
|
86% |
9966
800.9 IPS |
|
|
Face Detection (SP)
|
100% |
11625
138.1 IPS |
|
|
Face Detection (HP)
|
100% |
3073
36.5 IPS |
|
|
Face Detection (Q)
|
97% |
13587
162.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
16258
125.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4305
33.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
28243
225.4 IPS |
|
|
Style Transfer (SP)
|
100% |
30569
39.3 IPS |
|
|
Style Transfer (HP)
|
100% |
22464
28.9 IPS |
|
|
Style Transfer (Q)
|
98% |
38767
50.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5489
202.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4580
169.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6892
255.2 IPS |
|
|
Text Classification (SP)
|
100% |
3262
4.35 KIPS |
|
|
Text Classification (HP)
|
100% |
1389
1.85 KIPS |
|
|
Text Classification (Q)
|
97% |
638
854.1 IPS |
|
|
Machine Translation (SP)
|
100% |
5136
88.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1315
22.7 IPS |
|
|
Machine Translation (Q)
|
65% |
5767
115.9 IPS |
