Acer Nitro N50-650
Geekbench AI Score
17598
Single Precision Score
29346
Half Precision Score
13956
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Bxckam1422 |
| Upload Date | November 19 2025 03:33 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Acer Nitro N50-650 |
| Motherboard | Acer Nitro N50-650 |
| Power Plan | Acer |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13400F |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6872
1.28 KIPS |
|
|
Image Classification (HP)
|
99% |
12222
2.28 KIPS |
|
|
Image Classification (Q)
|
99% |
6022
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12281
199.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
16725
271.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
11154
181.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
86302
100.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
242708
283.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
77840
91.2 IPS |
|
|
Object Detection (SP)
|
100% |
8909
706.7 IPS |
|
|
Object Detection (HP)
|
100% |
15113
1.20 KIPS |
|
|
Object Detection (Q)
|
84% |
7741
624.4 IPS |
|
|
Face Detection (SP)
|
100% |
21482
255.3 IPS |
|
|
Face Detection (HP)
|
100% |
34505
410.0 IPS |
|
|
Face Detection (Q)
|
97% |
19210
229.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
43091
332.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
82123
632.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
35564
284.5 IPS |
|
|
Style Transfer (SP)
|
100% |
142541
183.2 IPS |
|
|
Style Transfer (HP)
|
100% |
346369
445.3 IPS |
|
|
Style Transfer (Q)
|
98% |
125933
162.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27545
1.02 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
43658
1.61 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21487
795.6 IPS |
|
|
Text Classification (SP)
|
100% |
3193
4.26 KIPS |
|
|
Text Classification (HP)
|
99% |
3647
4.87 KIPS |
|
|
Text Classification (Q)
|
97% |
1972
2.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
3784
65.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4043
69.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1900
35.6 IPS |
