HONOR FRI-HXX
Geekbench AI Score
7883
Single Precision Score
11751
Half Precision Score
5881
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 18 2025 04:46 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | HONOR FRI-HXX |
| Motherboard | HONOR FRI-HXX-PCB |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7840HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3121
580.4 IPS |
|
|
Image Classification (HP)
|
100% |
4827
897.6 IPS |
|
|
Image Classification (Q)
|
100% |
2924
543.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3969
64.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4744
76.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3250
52.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
37919
44.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
72830
85.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
28334
33.2 IPS |
|
|
Object Detection (SP)
|
100% |
2644
209.7 IPS |
|
|
Object Detection (HP)
|
100% |
3780
299.8 IPS |
|
|
Object Detection (Q)
|
87% |
2438
195.8 IPS |
|
|
Face Detection (SP)
|
100% |
5872
69.8 IPS |
|
|
Face Detection (HP)
|
100% |
10818
128.5 IPS |
|
|
Face Detection (Q)
|
97% |
4974
59.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
17314
133.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
26321
202.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
13147
105.4 IPS |
|
|
Style Transfer (SP)
|
100% |
69500
89.3 IPS |
|
|
Style Transfer (HP)
|
100% |
114882
147.7 IPS |
|
|
Style Transfer (Q)
|
98% |
47340
61.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14170
523.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23016
849.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8958
331.7 IPS |
|
|
Text Classification (SP)
|
100% |
2361
3.15 KIPS |
|
|
Text Classification (HP)
|
100% |
3061
4.09 KIPS |
|
|
Text Classification (Q)
|
97% |
1699
2.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
3160
54.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3456
59.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1602
30.0 IPS |
