HONOR FRI-HXX
Geekbench AI Score
2960
Single Precision Score
1230
Half Precision Score
6097
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 18 2025 04:43 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7840HS |
| 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% |
3455
642.6 IPS |
|
|
Image Classification (HP)
|
100% |
548
101.9 IPS |
|
|
Image Classification (Q)
|
99% |
6073
1.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1132
18.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
583
9.45 IPS |
|
|
Image Segmentation (Q)
|
98% |
6170
100.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3859
4.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
3270
3.82 IPS |
|
|
Pose Estimation (Q)
|
94% |
19532
22.9 IPS |
|
|
Object Detection (SP)
|
100% |
2925
232.0 IPS |
|
|
Object Detection (HP)
|
100% |
448
35.5 IPS |
|
|
Object Detection (Q)
|
86% |
7212
579.7 IPS |
|
|
Face Detection (SP)
|
100% |
5384
64.0 IPS |
|
|
Face Detection (HP)
|
100% |
1677
19.9 IPS |
|
|
Face Detection (Q)
|
97% |
10220
121.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9240
71.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2500
19.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
7348
58.6 IPS |
|
|
Style Transfer (SP)
|
100% |
8224
10.6 IPS |
|
|
Style Transfer (HP)
|
100% |
7673
9.86 IPS |
|
|
Style Transfer (Q)
|
98% |
18123
23.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1430
52.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1362
50.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3858
142.8 IPS |
|
|
Text Classification (SP)
|
100% |
1330
1.78 KIPS |
|
|
Text Classification (HP)
|
100% |
632
843.8 IPS |
|
|
Text Classification (Q)
|
97% |
1200
1.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
1504
25.9 IPS |
|
|
Machine Translation (HP)
|
100% |
612
10.5 IPS |
|
|
Machine Translation (Q)
|
65% |
2135
42.9 IPS |
