Alienware Alienware m16 R2
Geekbench AI Score
2767
Single Precision Score
8636
Half Precision Score
13028
Quantized Score
Geekbench AI 1.6.0 Corporate for Windows AVX2
Result Information
| Upload Date | December 02 2025 08:26 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Alienware Alienware m16 R2 |
| Motherboard | Alienware 0P9YG5 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1407
261.7 IPS |
|
|
Image Classification (HP)
|
100% |
6170
1.15 KIPS |
|
|
Image Classification (Q)
|
100% |
8578
1.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2286
37.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2512
40.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3413
55.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3621
4.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
30205
35.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
63215
74.1 IPS |
|
|
Object Detection (SP)
|
100% |
1428
113.3 IPS |
|
|
Object Detection (HP)
|
100% |
5439
431.4 IPS |
|
|
Object Detection (Q)
|
87% |
8815
707.5 IPS |
|
|
Face Detection (SP)
|
100% |
4566
54.3 IPS |
|
|
Face Detection (HP)
|
100% |
14220
169.0 IPS |
|
|
Face Detection (Q)
|
100% |
24388
289.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4260
32.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
16142
124.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
29717
231.2 IPS |
|
|
Style Transfer (SP)
|
100% |
11030
14.2 IPS |
|
|
Style Transfer (HP)
|
100% |
45035
57.9 IPS |
|
|
Style Transfer (Q)
|
98% |
83073
107.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2082
76.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12646
467.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20905
774.2 IPS |
|
|
Text Classification (SP)
|
100% |
1804
2.41 KIPS |
|
|
Text Classification (HP)
|
100% |
1780
2.38 KIPS |
|
|
Text Classification (Q)
|
92% |
1783
2.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
1965
33.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3896
67.1 IPS |
|
|
Machine Translation (Q)
|
100% |
3850
66.3 IPS |
