HONOR FRI-GXXXA
Geekbench AI Score
2853
Single Precision Score
4070
Half Precision Score
6429
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | kosmilon |
| Upload Date | August 01 2025 12:14 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics (iGPU) |
| 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% |
1691
314.4 IPS |
|
|
Image Classification (HP)
|
100% |
2339
435.1 IPS |
|
|
Image Classification (Q)
|
99% |
3596
670.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2668
43.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4316
70.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
6221
100.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5398
6.30 IPS |
|
|
Pose Estimation (HP)
|
99% |
3976
4.64 IPS |
|
|
Pose Estimation (Q)
|
97% |
17048
20.0 IPS |
|
|
Object Detection (SP)
|
100% |
1594
126.4 IPS |
|
|
Object Detection (HP)
|
99% |
2429
192.7 IPS |
|
|
Object Detection (Q)
|
90% |
3646
291.5 IPS |
|
|
Face Detection (SP)
|
100% |
5028
59.7 IPS |
|
|
Face Detection (HP)
|
100% |
7740
92.0 IPS |
|
|
Face Detection (Q)
|
100% |
10348
123.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5532
42.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
8909
68.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
12657
98.4 IPS |
|
|
Style Transfer (SP)
|
100% |
13794
17.7 IPS |
|
|
Style Transfer (HP)
|
100% |
22614
29.1 IPS |
|
|
Style Transfer (Q)
|
98% |
37909
48.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2361
87.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3729
137.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7267
269.1 IPS |
|
|
Text Classification (SP)
|
71% |
993
1.44 KIPS |
|
|
Text Classification (HP)
|
71% |
1249
1.81 KIPS |
|
|
Text Classification (Q)
|
92% |
1306
1.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
1024
17.6 IPS |
|
|
Machine Translation (HP)
|
98% |
1765
30.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1843
31.8 IPS |
