Gigabyte Technology Co., Ltd. B650 AORUS ELITE AX V2
Geekbench AI Score
10839
Single Precision Score
10841
Half Precision Score
27346
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Katsumis |
| Upload Date | January 12 2025 10:21 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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 | Performances optimales |
| 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% |
7243
1.35 KIPS |
|
|
Image Classification (HP)
|
100% |
7303
1.36 KIPS |
|
|
Image Classification (Q)
|
100% |
16776
3.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7115
115.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
7127
115.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
17122
277.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
13937
16.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
13961
16.3 IPS |
|
|
Pose Estimation (Q)
|
98% |
55027
64.4 IPS |
|
|
Object Detection (SP)
|
100% |
6927
549.5 IPS |
|
|
Object Detection (HP)
|
100% |
6897
547.1 IPS |
|
|
Object Detection (Q)
|
88% |
18318
1.47 KIPS |
|
|
Face Detection (SP)
|
100% |
14972
177.9 IPS |
|
|
Face Detection (HP)
|
100% |
14802
175.9 IPS |
|
|
Face Detection (Q)
|
100% |
43719
519.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
17015
131.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
16965
130.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
50771
395.0 IPS |
|
|
Style Transfer (SP)
|
100% |
38784
49.9 IPS |
|
|
Style Transfer (HP)
|
100% |
38933
50.0 IPS |
|
|
Style Transfer (Q)
|
98% |
141722
182.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8927
329.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8977
331.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27338
1.01 KIPS |
|
|
Text Classification (SP)
|
100% |
5841
7.80 KIPS |
|
|
Text Classification (HP)
|
100% |
5767
7.70 KIPS |
|
|
Text Classification (Q)
|
92% |
8781
11.8 KIPS |
|
|
Machine Translation (SP)
|
100% |
8735
150.5 IPS |
|
|
Machine Translation (HP)
|
100% |
8844
152.3 IPS |
|
|
Machine Translation (Q)
|
100% |
10697
184.3 IPS |
