Alienware Alienware m16 R2
Geekbench AI Score
3676
Single Precision Score
5978
Half Precision Score
2700
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | jjms |
| Upload Date | March 28 2026 04:26 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) Graphics |
| 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% |
1918
356.6 IPS |
|
|
Image Classification (HP)
|
100% |
3660
680.7 IPS |
|
|
Image Classification (Q)
|
100% |
1653
307.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2477
40.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
6373
103.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2035
33.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10008
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
15932
18.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
8440
9.89 IPS |
|
|
Object Detection (SP)
|
100% |
1926
152.8 IPS |
|
|
Object Detection (HP)
|
99% |
3944
313.7 IPS |
|
|
Object Detection (Q)
|
86% |
1715
137.9 IPS |
|
|
Face Detection (SP)
|
100% |
3536
42.0 IPS |
|
|
Face Detection (HP)
|
100% |
7023
83.5 IPS |
|
|
Face Detection (Q)
|
97% |
2758
32.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7505
57.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
15804
122.2 IPS |
|
|
Depth Estimation (Q)
|
76% |
5986
48.0 IPS |
|
|
Style Transfer (SP)
|
100% |
34009
43.7 IPS |
|
|
Style Transfer (HP)
|
100% |
53941
69.3 IPS |
|
|
Style Transfer (Q)
|
98% |
23940
30.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5786
213.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8048
297.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3141
116.3 IPS |
|
|
Text Classification (SP)
|
86% |
632
854.9 IPS |
|
|
Text Classification (HP)
|
99% |
493
658.0 IPS |
|
|
Text Classification (Q)
|
84% |
457
620.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1493
25.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1676
28.9 IPS |
|
|
Machine Translation (Q)
|
70% |
748
14.0 IPS |
