Alienware Alienware m16 R2
Geekbench AI Score
3650
Single Precision Score
5888
Half Precision Score
2683
Quantized Score
Geekbench AI 1.6.0 Corporate for Windows AVX2
Result Information
| Upload Date | December 02 2025 08:11 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) Graphics |
| 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% |
1874
348.6 IPS |
|
|
Image Classification (HP)
|
100% |
3770
701.2 IPS |
|
|
Image Classification (Q)
|
100% |
1645
305.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2403
38.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
5923
96.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1995
32.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10352
12.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
14993
17.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
9009
10.6 IPS |
|
|
Object Detection (SP)
|
100% |
1995
158.2 IPS |
|
|
Object Detection (HP)
|
99% |
4017
319.5 IPS |
|
|
Object Detection (Q)
|
86% |
1640
131.8 IPS |
|
|
Face Detection (SP)
|
100% |
3536
42.0 IPS |
|
|
Face Detection (HP)
|
100% |
6756
80.3 IPS |
|
|
Face Detection (Q)
|
97% |
2763
32.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7623
58.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
15202
117.5 IPS |
|
|
Depth Estimation (Q)
|
76% |
5986
48.1 IPS |
|
|
Style Transfer (SP)
|
100% |
32804
42.2 IPS |
|
|
Style Transfer (HP)
|
100% |
50916
65.5 IPS |
|
|
Style Transfer (Q)
|
98% |
23898
30.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5341
197.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8321
307.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2945
109.1 IPS |
|
|
Text Classification (SP)
|
86% |
537
726.6 IPS |
|
|
Text Classification (HP)
|
99% |
487
649.7 IPS |
|
|
Text Classification (Q)
|
84% |
421
571.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1780
30.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1758
30.3 IPS |
|
|
Machine Translation (Q)
|
70% |
814
15.3 IPS |
