Gigabyte Technology Co., Ltd. B650 AORUS ELITE AX V2
Geekbench AI Score
9822
Single Precision Score
9892
Half Precision Score
26550
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Katsumis |
| Upload Date | September 18 2025 12:35 PM |
| Views | 7 |
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 | Utilisation normale |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 9600X |
| 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% |
6173
1.15 KIPS |
|
|
Image Classification (HP)
|
100% |
6237
1.16 KIPS |
|
|
Image Classification (Q)
|
100% |
16860
3.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6555
106.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
6659
107.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
17718
287.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11584
13.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
11723
13.7 IPS |
|
|
Pose Estimation (Q)
|
98% |
47616
55.7 IPS |
|
|
Object Detection (SP)
|
100% |
6230
494.1 IPS |
|
|
Object Detection (HP)
|
100% |
6291
499.0 IPS |
|
|
Object Detection (Q)
|
88% |
17618
1.41 KIPS |
|
|
Face Detection (SP)
|
100% |
14000
166.4 IPS |
|
|
Face Detection (HP)
|
100% |
14051
167.0 IPS |
|
|
Face Detection (Q)
|
100% |
42763
508.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
14579
112.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
14754
113.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
45346
352.9 IPS |
|
|
Style Transfer (SP)
|
100% |
32576
41.9 IPS |
|
|
Style Transfer (HP)
|
100% |
33145
42.6 IPS |
|
|
Style Transfer (Q)
|
98% |
119804
154.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7418
273.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7509
277.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24191
895.9 IPS |
|
|
Text Classification (SP)
|
100% |
5626
7.51 KIPS |
|
|
Text Classification (HP)
|
100% |
5506
7.35 KIPS |
|
|
Text Classification (Q)
|
92% |
9014
12.1 KIPS |
|
|
Machine Translation (SP)
|
100% |
10313
177.6 IPS |
|
|
Machine Translation (HP)
|
100% |
10317
177.7 IPS |
|
|
Machine Translation (Q)
|
100% |
13713
236.2 IPS |
