JGINYUE B550i-GAMING
Geekbench AI Score
7010
Single Precision Score
6199
Half Precision Score
4873
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| Upload Date | March 19 2026 03:04 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA Tesla P4 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | JGINYUE B550i-GAMING |
| Motherboard | JGINYUE B550i-GAMING |
| CPU Information | |
|---|---|
| Name | AMD Eng Sample: 100-000000263-50_Y |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2535
471.4 IPS |
|
|
Image Classification (HP)
|
100% |
2559
476.0 IPS |
|
|
Image Classification (Q)
|
99% |
2042
380.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3789
61.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4046
65.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3039
49.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
43617
50.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
24380
28.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
33887
39.7 IPS |
|
|
Object Detection (SP)
|
100% |
3199
253.8 IPS |
|
|
Object Detection (HP)
|
100% |
3268
259.3 IPS |
|
|
Object Detection (Q)
|
84% |
2557
206.2 IPS |
|
|
Face Detection (SP)
|
100% |
6013
71.4 IPS |
|
|
Face Detection (HP)
|
100% |
6587
78.3 IPS |
|
|
Face Detection (Q)
|
97% |
4879
58.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
15190
117.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
11838
91.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
10998
87.9 IPS |
|
|
Style Transfer (SP)
|
100% |
71022
91.3 IPS |
|
|
Style Transfer (HP)
|
100% |
37850
48.7 IPS |
|
|
Style Transfer (Q)
|
98% |
52238
67.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13021
480.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9581
353.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7459
276.2 IPS |
|
|
Text Classification (SP)
|
100% |
1028
1.37 KIPS |
|
|
Text Classification (HP)
|
100% |
1485
1.98 KIPS |
|
|
Text Classification (Q)
|
97% |
654
876.7 IPS |
|
|
Machine Translation (SP)
|
100% |
2465
42.5 IPS |
|
|
Machine Translation (HP)
|
96% |
2422
41.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1028
19.3 IPS |
