HUAWEI RLEFG-XX
Geekbench AI Score
2691
Single Precision Score
1003
Half Precision Score
4390
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | aajebril |
| Upload Date | April 07 2025 02:26 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-13900H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HUAWEI RLEFG-XX |
| Motherboard | HUAWEI RLEFG-XX-PCB |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2074
385.8 IPS |
|
|
Image Classification (HP)
|
100% |
378
70.2 IPS |
|
|
Image Classification (Q)
|
99% |
3900
727.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1228
19.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
596
9.66 IPS |
|
|
Image Segmentation (Q)
|
98% |
2104
34.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4728
5.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
2714
3.17 IPS |
|
|
Pose Estimation (Q)
|
94% |
14651
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
1970
156.3 IPS |
|
|
Object Detection (HP)
|
100% |
461
36.6 IPS |
|
|
Object Detection (Q)
|
86% |
3747
301.2 IPS |
|
|
Face Detection (SP)
|
100% |
5211
61.9 IPS |
|
|
Face Detection (HP)
|
100% |
1123
13.3 IPS |
|
|
Face Detection (Q)
|
97% |
5978
71.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5710
44.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1393
10.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
9461
75.5 IPS |
|
|
Style Transfer (SP)
|
100% |
10620
13.7 IPS |
|
|
Style Transfer (HP)
|
100% |
6806
8.75 IPS |
|
|
Style Transfer (Q)
|
98% |
17126
22.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1859
68.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1322
48.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2730
101.1 IPS |
|
|
Text Classification (SP)
|
100% |
1060
1.41 KIPS |
|
|
Text Classification (HP)
|
100% |
510
681.4 IPS |
|
|
Text Classification (Q)
|
97% |
1081
1.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
1350
23.3 IPS |
|
|
Machine Translation (HP)
|
100% |
512
8.82 IPS |
|
|
Machine Translation (Q)
|
65% |
2068
41.6 IPS |
