Metabox Alpha-SR NP50SNE
Geekbench AI Score
20843
Single Precision Score
33793
Half Precision Score
16070
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 12 2025 01:41 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% |
8141
1.51 KIPS |
|
|
Image Classification (HP)
|
99% |
12628
2.36 KIPS |
|
|
Image Classification (Q)
|
100% |
7298
1.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14109
228.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
18806
304.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
12735
207.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
121988
142.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
320768
374.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
102670
120.3 IPS |
|
|
Object Detection (SP)
|
100% |
9980
791.6 IPS |
|
|
Object Detection (HP)
|
100% |
16523
1.31 KIPS |
|
|
Object Detection (Q)
|
85% |
8706
700.9 IPS |
|
|
Face Detection (SP)
|
100% |
24717
293.7 IPS |
|
|
Face Detection (HP)
|
100% |
39063
464.2 IPS |
|
|
Face Detection (Q)
|
97% |
21366
254.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
50044
385.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
93052
716.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
40417
323.0 IPS |
|
|
Style Transfer (SP)
|
100% |
184532
237.2 IPS |
|
|
Style Transfer (HP)
|
100% |
454712
584.5 IPS |
|
|
Style Transfer (Q)
|
98% |
168097
216.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
36217
1.34 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
53164
1.96 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26492
981.0 IPS |
|
|
Text Classification (SP)
|
100% |
3370
4.50 KIPS |
|
|
Text Classification (HP)
|
99% |
4176
5.57 KIPS |
|
|
Text Classification (Q)
|
97% |
1906
2.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
3973
68.4 IPS |
|
|
Machine Translation (HP)
|
98% |
4206
72.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1887
35.4 IPS |
