HONOR BRI-XX
Geekbench AI Score
3437
Single Precision Score
1559
Half Precision Score
6857
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 16 2025 02:22 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 8845HS |
| System Information | |
|---|---|
| Operating System | Windows 11 (64-bit) |
| Model | HONOR BRI-XX |
| Motherboard | HONOR BRI-XX-PCB |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8845HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3589
667.5 IPS |
|
|
Image Classification (HP)
|
100% |
436
81.0 IPS |
|
|
Image Classification (Q)
|
99% |
6499
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1252
20.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
671
10.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
6750
109.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4133
4.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
4518
5.27 IPS |
|
|
Pose Estimation (Q)
|
94% |
15058
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
2070
164.2 IPS |
|
|
Object Detection (HP)
|
100% |
600
47.6 IPS |
|
|
Object Detection (Q)
|
86% |
5492
441.4 IPS |
|
|
Face Detection (SP)
|
100% |
4752
56.5 IPS |
|
|
Face Detection (HP)
|
100% |
1275
15.2 IPS |
|
|
Face Detection (Q)
|
97% |
8558
102.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5474
42.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2783
21.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
7259
57.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17248
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
13977
18.0 IPS |
|
|
Style Transfer (Q)
|
98% |
27730
35.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2626
97.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2501
92.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6737
249.5 IPS |
|
|
Text Classification (SP)
|
100% |
2177
2.91 KIPS |
|
|
Text Classification (HP)
|
100% |
930
1.24 KIPS |
|
|
Text Classification (Q)
|
97% |
1758
2.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
2334
40.2 IPS |
|
|
Machine Translation (HP)
|
100% |
931
16.0 IPS |
|
|
Machine Translation (Q)
|
65% |
3106
62.4 IPS |
