HONOR FRI-GXXXA
Geekbench AI Score
2063
Single Precision Score
2036
Half Precision Score
1343
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | kosmilon |
| Upload Date | August 01 2025 12:10 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics |
| 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% |
902
167.7 IPS |
|
|
Image Classification (HP)
|
100% |
907
168.6 IPS |
|
|
Image Classification (Q)
|
100% |
782
145.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1292
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1419
23.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
947
15.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6430
7.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
7241
8.45 IPS |
|
|
Pose Estimation (Q)
|
96% |
4131
4.84 IPS |
|
|
Object Detection (SP)
|
100% |
1005
79.7 IPS |
|
|
Object Detection (HP)
|
98% |
846
67.3 IPS |
|
|
Object Detection (Q)
|
86% |
816
65.6 IPS |
|
|
Face Detection (SP)
|
100% |
2057
24.4 IPS |
|
|
Face Detection (HP)
|
100% |
2219
26.4 IPS |
|
|
Face Detection (Q)
|
97% |
1434
17.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3788
29.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
4008
31.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
2674
21.4 IPS |
|
|
Style Transfer (SP)
|
100% |
13834
17.8 IPS |
|
|
Style Transfer (HP)
|
100% |
18316
23.5 IPS |
|
|
Style Transfer (Q)
|
98% |
9841
12.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2185
80.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2994
110.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1077
39.9 IPS |
|
|
Text Classification (SP)
|
100% |
883
1.18 KIPS |
|
|
Text Classification (HP)
|
100% |
394
525.6 IPS |
|
|
Text Classification (Q)
|
97% |
444
594.2 IPS |
|
|
Machine Translation (SP)
|
100% |
893
15.4 IPS |
|
|
Machine Translation (HP)
|
100% |
808
13.9 IPS |
|
|
Machine Translation (Q)
|
70% |
424
7.96 IPS |
