Metabox Alpha-SR NP50SNE
Geekbench AI Score
20774
Single Precision Score
34143
Half Precision Score
16084
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 12 2025 01:46 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% |
8073
1.50 KIPS |
|
|
Image Classification (HP)
|
99% |
13765
2.57 KIPS |
|
|
Image Classification (Q)
|
100% |
7402
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14476
234.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
19271
312.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
13145
213.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
119879
139.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
327521
382.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
105941
124.1 IPS |
|
|
Object Detection (SP)
|
100% |
9801
777.4 IPS |
|
|
Object Detection (HP)
|
100% |
16399
1.30 KIPS |
|
|
Object Detection (Q)
|
85% |
8643
695.8 IPS |
|
|
Face Detection (SP)
|
100% |
24361
289.5 IPS |
|
|
Face Detection (HP)
|
100% |
39263
466.5 IPS |
|
|
Face Detection (Q)
|
97% |
21618
257.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
50886
392.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
92447
712.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
40712
325.4 IPS |
|
|
Style Transfer (SP)
|
100% |
185827
238.9 IPS |
|
|
Style Transfer (HP)
|
100% |
458621
589.6 IPS |
|
|
Style Transfer (Q)
|
98% |
168427
217.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
36259
1.34 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
53229
1.97 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26203
970.3 IPS |
|
|
Text Classification (SP)
|
100% |
3386
4.52 KIPS |
|
|
Text Classification (HP)
|
99% |
4256
5.68 KIPS |
|
|
Text Classification (Q)
|
97% |
1803
2.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
3855
66.4 IPS |
|
|
Machine Translation (HP)
|
98% |
4007
69.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1857
34.8 IPS |
