Acer Nitro N50-650
Geekbench AI Score
2976
Single Precision Score
1307
Half Precision Score
5748
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Bxckam1422 |
| Upload Date | November 19 2025 03:36 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-13400F |
| 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% |
2225
413.8 IPS |
|
|
Image Classification (HP)
|
100% |
492
91.6 IPS |
|
|
Image Classification (Q)
|
99% |
4595
857.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1428
23.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
872
14.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
6536
106.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4683
5.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
3422
3.99 IPS |
|
|
Pose Estimation (Q)
|
94% |
16720
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
2246
178.2 IPS |
|
|
Object Detection (HP)
|
100% |
603
47.8 IPS |
|
|
Object Detection (Q)
|
86% |
4735
380.5 IPS |
|
|
Face Detection (SP)
|
100% |
4455
52.9 IPS |
|
|
Face Detection (HP)
|
100% |
1338
15.9 IPS |
|
|
Face Detection (Q)
|
97% |
7227
86.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6384
49.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1755
13.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
10858
86.6 IPS |
|
|
Style Transfer (SP)
|
100% |
11237
14.4 IPS |
|
|
Style Transfer (HP)
|
100% |
8266
10.6 IPS |
|
|
Style Transfer (Q)
|
98% |
15424
19.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2231
82.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1669
61.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4324
160.1 IPS |
|
|
Text Classification (SP)
|
100% |
1325
1.77 KIPS |
|
|
Text Classification (HP)
|
100% |
705
940.6 IPS |
|
|
Text Classification (Q)
|
97% |
1284
1.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
1731
29.8 IPS |
|
|
Machine Translation (HP)
|
100% |
720
12.4 IPS |
|
|
Machine Translation (Q)
|
65% |
2467
49.6 IPS |
