Gigabyte Technology Co., Ltd. B650 AORUS ELITE AX V2
Geekbench AI Score
14005
Single Precision Score
13962
Half Precision Score
33223
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 09 2025 08:41 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 9800X3D 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B650 AORUS ELITE AX V2 |
| Motherboard | Gigabyte Technology Co., Ltd. B650 AORUS ELITE AX V2 |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D |
| Topology | 1 Processor, 8 Cores |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8590
1.60 KIPS |
|
|
Image Classification (HP)
|
100% |
8544
1.59 KIPS |
|
|
Image Classification (Q)
|
100% |
20642
3.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9569
155.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9525
154.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
25021
405.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
16453
19.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
16808
19.6 IPS |
|
|
Pose Estimation (Q)
|
98% |
66566
77.9 IPS |
|
|
Object Detection (SP)
|
100% |
8813
699.0 IPS |
|
|
Object Detection (HP)
|
100% |
8857
702.6 IPS |
|
|
Object Detection (Q)
|
88% |
22155
1.78 KIPS |
|
|
Face Detection (SP)
|
100% |
27521
327.0 IPS |
|
|
Face Detection (HP)
|
100% |
27499
326.8 IPS |
|
|
Face Detection (Q)
|
100% |
55599
660.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
22939
176.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
23072
177.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
60936
474.2 IPS |
|
|
Style Transfer (SP)
|
100% |
48597
62.5 IPS |
|
|
Style Transfer (HP)
|
100% |
48045
61.8 IPS |
|
|
Style Transfer (Q)
|
98% |
169516
218.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10354
382.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10412
384.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
31385
1.16 KIPS |
|
|
Text Classification (SP)
|
100% |
6518
8.70 KIPS |
|
|
Text Classification (HP)
|
100% |
6468
8.63 KIPS |
|
|
Text Classification (Q)
|
92% |
8838
11.9 KIPS |
|
|
Machine Translation (SP)
|
100% |
11771
202.8 IPS |
|
|
Machine Translation (HP)
|
100% |
11324
195.1 IPS |
|
|
Machine Translation (Q)
|
100% |
13502
232.6 IPS |
