Acer Nitro NL16-71G
Geekbench AI Score
12197
Single Precision Score
21557
Half Precision Score
9832
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | god_laptop |
| Upload Date | February 24 2026 05:30 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4050 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | Acer Nitro NL16-71G |
| Motherboard | RPL CTE_NB_NL160P1G_RTH |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13620H |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5088
946.3 IPS |
|
|
Image Classification (HP)
|
99% |
8833
1.65 KIPS |
|
|
Image Classification (Q)
|
99% |
4652
867.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
8276
134.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
11712
189.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
7671
124.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
51042
59.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
175096
204.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
43601
51.1 IPS |
|
|
Object Detection (SP)
|
100% |
5808
460.7 IPS |
|
|
Object Detection (HP)
|
100% |
10878
862.9 IPS |
|
|
Object Detection (Q)
|
84% |
5634
454.5 IPS |
|
|
Face Detection (SP)
|
100% |
14231
169.1 IPS |
|
|
Face Detection (HP)
|
100% |
24085
286.2 IPS |
|
|
Face Detection (Q)
|
97% |
13012
155.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
28430
219.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
59960
462.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
23016
184.1 IPS |
|
|
Style Transfer (SP)
|
100% |
99470
127.9 IPS |
|
|
Style Transfer (HP)
|
100% |
256042
329.1 IPS |
|
|
Style Transfer (Q)
|
98% |
83270
107.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
19631
724.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33597
1.24 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
15458
572.4 IPS |
|
|
Text Classification (SP)
|
100% |
2605
3.48 KIPS |
|
|
Text Classification (HP)
|
100% |
3003
4.01 KIPS |
|
|
Text Classification (Q)
|
97% |
1654
2.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
2837
48.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2949
50.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1511
28.3 IPS |
