Alienware Alienware 16 Aurora AC16250
Geekbench AI Score
13901
Single Precision Score
28354
Half Precision Score
11491
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | hpirnaj |
| Upload Date | September 07 2025 04:16 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Alienware Alienware 16 Aurora AC16250 |
| Motherboard | Alienware 0186KF |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) 7 240H |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4559
847.9 IPS |
|
|
Image Classification (HP)
|
100% |
9773
1.82 KIPS |
|
|
Image Classification (Q)
|
99% |
4411
822.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
12067
195.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
22295
361.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
10153
165.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
73109
85.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
214559
250.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
69111
81.0 IPS |
|
|
Object Detection (SP)
|
100% |
8147
646.2 IPS |
|
|
Object Detection (HP)
|
100% |
14595
1.16 KIPS |
|
|
Object Detection (Q)
|
87% |
6019
483.1 IPS |
|
|
Face Detection (SP)
|
100% |
16881
200.6 IPS |
|
|
Face Detection (HP)
|
100% |
33486
397.9 IPS |
|
|
Face Detection (Q)
|
97% |
19427
231.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
36580
281.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
84352
649.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
32566
260.4 IPS |
|
|
Style Transfer (SP)
|
100% |
124591
160.2 IPS |
|
|
Style Transfer (HP)
|
100% |
418016
537.4 IPS |
|
|
Style Transfer (Q)
|
98% |
101657
131.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20777
767.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42657
1.58 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
17165
635.6 IPS |
|
|
Text Classification (SP)
|
100% |
1818
2.43 KIPS |
|
|
Text Classification (HP)
|
100% |
3226
4.31 KIPS |
|
|
Text Classification (Q)
|
97% |
1373
1.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
2830
48.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3030
52.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1422
26.7 IPS |
