NZXT H5 elite-personal computer JGINYUE B550i-GAMING
Geekbench AI Score
2047
Single Precision Score
1043
Half Precision Score
3696
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | EssaQasimComara |
| Upload Date | December 02 2025 08:12 PM |
| Views | 11 |
| Notes | JGINYUE B550i-GAMING |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 5500 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | JGINYUE B550i-GAMING |
| Motherboard | JGINYUE B550i-GAMING |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5500 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1893
352.1 IPS |
|
|
Image Classification (HP)
|
100% |
481
89.4 IPS |
|
|
Image Classification (Q)
|
96% |
3864
721.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1178
19.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
681
11.0 IPS |
|
|
Image Segmentation (Q)
|
97% |
4265
69.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2900
3.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
2412
2.81 IPS |
|
|
Pose Estimation (Q)
|
86% |
6200
7.33 IPS |
|
|
Object Detection (SP)
|
100% |
1327
105.2 IPS |
|
|
Object Detection (HP)
|
100% |
460
36.5 IPS |
|
|
Object Detection (Q)
|
58% |
2111
230.7 IPS |
|
|
Face Detection (SP)
|
100% |
2907
34.5 IPS |
|
|
Face Detection (HP)
|
100% |
1050
12.5 IPS |
|
|
Face Detection (Q)
|
96% |
5073
60.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3665
28.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1422
11.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
7652
61.1 IPS |
|
|
Style Transfer (SP)
|
100% |
6984
8.98 IPS |
|
|
Style Transfer (HP)
|
100% |
5779
7.43 IPS |
|
|
Style Transfer (Q)
|
87% |
10205
13.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1218
45.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1241
45.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2826
104.7 IPS |
|
|
Text Classification (SP)
|
100% |
1138
1.52 KIPS |
|
|
Text Classification (HP)
|
100% |
641
855.6 IPS |
|
|
Text Classification (Q)
|
97% |
1048
1.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
1462
25.2 IPS |
|
|
Machine Translation (HP)
|
100% |
614
10.6 IPS |
|
|
Machine Translation (Q)
|
68% |
1881
36.3 IPS |
