FPT Elead F22FAH Generic
Geekbench AI Score
959
Single Precision Score
1027
Half Precision Score
744
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | rennsport |
| Upload Date | April 18 2025 03:50 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 630 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock H470M-HDV/M.2 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-10400 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 3 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
452
84.0 IPS |
|
|
Image Classification (HP)
|
100% |
467
86.9 IPS |
|
|
Image Classification (Q)
|
100% |
395
73.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
627
10.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
609
9.87 IPS |
|
|
Image Segmentation (Q)
|
98% |
487
7.91 IPS |
|
|
Pose Estimation (SP)
|
100% |
2172
2.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
3361
3.92 IPS |
|
|
Pose Estimation (Q)
|
97% |
1982
2.32 IPS |
|
|
Object Detection (SP)
|
100% |
490
38.8 IPS |
|
|
Object Detection (HP)
|
98% |
460
36.6 IPS |
|
|
Object Detection (Q)
|
86% |
420
33.8 IPS |
|
|
Face Detection (SP)
|
100% |
1027
12.2 IPS |
|
|
Face Detection (HP)
|
100% |
967
11.5 IPS |
|
|
Face Detection (Q)
|
97% |
794
9.47 IPS |
|
|
Depth Estimation (SP)
|
100% |
1721
13.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
1968
15.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
1426
11.4 IPS |
|
|
Style Transfer (SP)
|
100% |
5681
7.30 IPS |
|
|
Style Transfer (HP)
|
100% |
8321
10.7 IPS |
|
|
Style Transfer (Q)
|
98% |
4881
6.29 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1105
40.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1530
56.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
857
31.7 IPS |
|
|
Text Classification (SP)
|
100% |
414
552.4 IPS |
|
|
Text Classification (HP)
|
100% |
268
358.0 IPS |
|
|
Text Classification (Q)
|
97% |
258
346.1 IPS |
|
|
Machine Translation (SP)
|
100% |
476
8.20 IPS |
|
|
Machine Translation (HP)
|
100% |
459
7.91 IPS |
|
|
Machine Translation (Q)
|
70% |
269
5.05 IPS |
