HONOR FRI-GXXXA
Geekbench AI Score
2349
Single Precision Score
1132
Half Precision Score
4704
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | kosmilon |
| Upload Date | August 01 2025 12:01 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-13420H |
| System Information | |
|---|---|
| Operating System | Windows 11 (64-bit) |
| Model | HONOR FRI-GXXXA |
| Motherboard | HONOR FRI-GXXXA-PCB |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13420H |
| Topology | 1 Processor, 8 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1833
340.9 IPS |
|
|
Image Classification (HP)
|
100% |
498
92.7 IPS |
|
|
Image Classification (Q)
|
99% |
3935
734.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1106
17.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
760
12.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
5588
90.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3595
4.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
2649
3.09 IPS |
|
|
Pose Estimation (Q)
|
94% |
10083
11.8 IPS |
|
|
Object Detection (SP)
|
100% |
1493
118.4 IPS |
|
|
Object Detection (HP)
|
100% |
544
43.2 IPS |
|
|
Object Detection (Q)
|
86% |
3786
304.3 IPS |
|
|
Face Detection (SP)
|
100% |
4390
52.2 IPS |
|
|
Face Detection (HP)
|
100% |
1212
14.4 IPS |
|
|
Face Detection (Q)
|
97% |
6472
77.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4565
35.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1648
12.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
9733
77.7 IPS |
|
|
Style Transfer (SP)
|
100% |
8239
10.6 IPS |
|
|
Style Transfer (HP)
|
100% |
6166
7.93 IPS |
|
|
Style Transfer (Q)
|
98% |
13083
16.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1502
55.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1065
39.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3314
122.7 IPS |
|
|
Text Classification (SP)
|
100% |
1312
1.75 KIPS |
|
|
Text Classification (HP)
|
100% |
687
917.0 IPS |
|
|
Text Classification (Q)
|
97% |
1335
1.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
1450
25.0 IPS |
|
|
Machine Translation (HP)
|
100% |
707
12.2 IPS |
|
|
Machine Translation (Q)
|
65% |
1736
34.9 IPS |
