Alienware Alienware m16 R2
Geekbench AI Score
2820
Single Precision Score
8658
Half Precision Score
13196
Quantized Score
Geekbench AI 1.5.0-Beta1 Corporate for Windows AVX2
Result Information
| Upload Date | September 02 2025 05:13 PM |
| Views | 4 |
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 | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1504
279.6 IPS |
|
|
Image Classification (HP)
|
100% |
6196
1.15 KIPS |
|
|
Image Classification (Q)
|
100% |
8503
1.58 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2325
37.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2488
40.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3443
55.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3666
4.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
30073
35.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
65199
76.4 IPS |
|
|
Object Detection (SP)
|
100% |
1516
120.3 IPS |
|
|
Object Detection (HP)
|
100% |
5467
433.7 IPS |
|
|
Object Detection (Q)
|
87% |
8945
717.9 IPS |
|
|
Face Detection (SP)
|
100% |
4642
55.2 IPS |
|
|
Face Detection (HP)
|
100% |
13978
166.1 IPS |
|
|
Face Detection (Q)
|
100% |
24916
296.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4212
32.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
16358
126.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
29602
230.3 IPS |
|
|
Style Transfer (SP)
|
100% |
10942
14.1 IPS |
|
|
Style Transfer (HP)
|
100% |
44778
57.6 IPS |
|
|
Style Transfer (Q)
|
98% |
82580
106.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2098
77.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12649
467.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21173
784.1 IPS |
|
|
Text Classification (SP)
|
100% |
1785
2.38 KIPS |
|
|
Text Classification (HP)
|
100% |
1845
2.46 KIPS |
|
|
Text Classification (Q)
|
92% |
1852
2.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
2043
35.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3910
67.3 IPS |
|
|
Machine Translation (Q)
|
100% |
3929
67.7 IPS |
