Gigabyte Technology Co., Ltd. B550 GAMING X V2
Geekbench AI Score
3950
Single Precision Score
3847
Half Precision Score
6102
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | 98Fengyu |
| Upload Date | March 26 2026 09:59 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 5600G with Radeon Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B550 GAMING X V2 |
| Motherboard | Gigabyte Technology Co., Ltd. B550 GAMING X V2 |
| Power Plan | AMD Ryzen High Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600G |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2537
471.7 IPS |
|
|
Image Classification (HP)
|
100% |
2508
466.3 IPS |
|
|
Image Classification (Q)
|
100% |
4070
756.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3033
49.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3024
49.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3723
60.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3992
4.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
4397
5.13 IPS |
|
|
Pose Estimation (Q)
|
94% |
10125
11.9 IPS |
|
|
Object Detection (SP)
|
100% |
2464
195.5 IPS |
|
|
Object Detection (HP)
|
100% |
2447
194.1 IPS |
|
|
Object Detection (Q)
|
87% |
4284
343.6 IPS |
|
|
Face Detection (SP)
|
100% |
5158
61.3 IPS |
|
|
Face Detection (HP)
|
100% |
5407
64.3 IPS |
|
|
Face Detection (Q)
|
97% |
12299
146.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5981
46.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
6461
49.8 IPS |
|
|
Depth Estimation (Q)
|
81% |
11277
88.9 IPS |
|
|
Style Transfer (SP)
|
100% |
14583
18.7 IPS |
|
|
Style Transfer (HP)
|
100% |
13399
17.2 IPS |
|
|
Style Transfer (Q)
|
98% |
29957
38.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2802
103.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2507
92.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
6226
230.6 IPS |
|
|
Text Classification (SP)
|
100% |
2466
3.29 KIPS |
|
|
Text Classification (HP)
|
100% |
2460
3.28 KIPS |
|
|
Text Classification (Q)
|
91% |
1250
1.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
3934
67.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3016
52.0 IPS |
|
|
Machine Translation (Q)
|
100% |
3369
58.0 IPS |
