HONOR BRI-XX
Geekbench AI Score
3603
Single Precision Score
1604
Half Precision Score
6612
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 27 2024 02:03 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 8845HS |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3060
569.1 IPS |
|
|
Image Classification (HP)
|
100% |
593
110.3 IPS |
|
|
Image Classification (Q)
|
99% |
7473
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
885
14.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
788
12.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3583
58.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5798
6.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
4794
5.59 IPS |
|
|
Pose Estimation (Q)
|
94% |
24168
28.3 IPS |
|
|
Object Detection (SP)
|
100% |
3242
257.2 IPS |
|
|
Object Detection (HP)
|
100% |
776
61.5 IPS |
|
|
Object Detection (Q)
|
86% |
7385
593.5 IPS |
|
|
Face Detection (SP)
|
100% |
5171
61.4 IPS |
|
|
Face Detection (HP)
|
100% |
1619
19.2 IPS |
|
|
Face Detection (Q)
|
97% |
10579
126.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9365
72.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2464
19.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
7158
57.1 IPS |
|
|
Style Transfer (SP)
|
100% |
15201
19.5 IPS |
|
|
Style Transfer (HP)
|
100% |
12508
16.1 IPS |
|
|
Style Transfer (Q)
|
98% |
23972
30.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2569
94.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2213
81.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3374
124.9 IPS |
|
|
Text Classification (SP)
|
100% |
1989
2.65 KIPS |
|
|
Text Classification (HP)
|
100% |
836
1.12 KIPS |
|
|
Text Classification (Q)
|
97% |
1930
2.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
1926
33.2 IPS |
|
|
Machine Translation (HP)
|
100% |
705
12.2 IPS |
|
|
Machine Translation (Q)
|
65% |
2831
56.9 IPS |
