Metabox Alpha-SR NP50SNE
Geekbench AI Score
20655
Single Precision Score
33390
Half Precision Score
15805
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 12 2025 01:36 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Metabox Alpha-SR NP50SNE |
| Motherboard | IT Channel Pty Ltd NP5x_6x_7x_SNx |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900HX |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8238
1.53 KIPS |
|
|
Image Classification (HP)
|
99% |
13980
2.61 KIPS |
|
|
Image Classification (Q)
|
100% |
7638
1.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14451
234.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
18653
302.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
13258
215.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
124219
144.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
315882
368.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
103850
121.7 IPS |
|
|
Object Detection (SP)
|
100% |
9777
775.5 IPS |
|
|
Object Detection (HP)
|
100% |
15970
1.27 KIPS |
|
|
Object Detection (Q)
|
85% |
8020
645.6 IPS |
|
|
Face Detection (SP)
|
100% |
23936
284.4 IPS |
|
|
Face Detection (HP)
|
100% |
37491
445.5 IPS |
|
|
Face Detection (Q)
|
97% |
19611
233.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
46679
359.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
85509
658.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
38559
308.2 IPS |
|
|
Style Transfer (SP)
|
100% |
188463
242.3 IPS |
|
|
Style Transfer (HP)
|
100% |
437263
562.1 IPS |
|
|
Style Transfer (Q)
|
98% |
164475
212.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
36043
1.33 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
54632
2.02 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26617
985.6 IPS |
|
|
Text Classification (SP)
|
100% |
3336
4.45 KIPS |
|
|
Text Classification (HP)
|
99% |
4102
5.48 KIPS |
|
|
Text Classification (Q)
|
97% |
1920
2.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
3861
66.5 IPS |
|
|
Machine Translation (HP)
|
98% |
4169
72.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1815
34.1 IPS |
