Alienware Alienware m16 R2
Geekbench AI Score
1954
Single Precision Score
8608
Half Precision Score
13307
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | jjms |
| Upload Date | March 28 2026 04:54 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | Alienware Alienware m16 R2 |
| Motherboard | Alienware 02PTX7 |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 185H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1587
295.2 IPS |
|
|
Image Classification (HP)
|
100% |
5804
1.08 KIPS |
|
|
Image Classification (Q)
|
100% |
8318
1.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1692
27.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2455
39.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2981
48.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2249
2.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
29768
34.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
65276
76.5 IPS |
|
|
Object Detection (SP)
|
100% |
1080
85.7 IPS |
|
|
Object Detection (HP)
|
100% |
5199
412.4 IPS |
|
|
Object Detection (Q)
|
88% |
8798
705.4 IPS |
|
|
Face Detection (SP)
|
100% |
2858
34.0 IPS |
|
|
Face Detection (HP)
|
100% |
15384
182.8 IPS |
|
|
Face Detection (Q)
|
100% |
28072
333.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2592
20.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
15983
123.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
29917
232.8 IPS |
|
|
Style Transfer (SP)
|
100% |
9642
12.4 IPS |
|
|
Style Transfer (HP)
|
100% |
46050
59.2 IPS |
|
|
Style Transfer (Q)
|
98% |
82098
105.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1631
60.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13454
496.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
26553
983.4 IPS |
|
|
Text Classification (SP)
|
100% |
802
1.07 KIPS |
|
|
Text Classification (HP)
|
100% |
1687
2.25 KIPS |
|
|
Text Classification (Q)
|
92% |
1669
2.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
1335
23.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3942
67.9 IPS |
|
|
Machine Translation (Q)
|
100% |
4003
69.0 IPS |
