Alienware Alienware m16 R2
Geekbench AI Score
6684
Single Precision Score
10521
Half Precision Score
15638
Quantized Score
Geekbench AI 1.6.0 Corporate for Windows AVX2
Result Information
| Upload Date | December 02 2025 08:23 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Graphics (iGPU) |
| 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% |
4688
871.8 IPS |
|
|
Image Classification (HP)
|
100% |
7018
1.31 KIPS |
|
|
Image Classification (Q)
|
100% |
8507
1.58 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4095
66.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9860
159.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
13768
223.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
16886
19.7 IPS |
|
|
Pose Estimation (HP)
|
99% |
15918
18.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
53933
63.1 IPS |
|
|
Object Detection (SP)
|
100% |
4447
352.7 IPS |
|
|
Object Detection (HP)
|
100% |
7320
580.6 IPS |
|
|
Object Detection (Q)
|
88% |
10758
862.1 IPS |
|
|
Face Detection (SP)
|
100% |
7886
93.7 IPS |
|
|
Face Detection (HP)
|
100% |
16419
195.1 IPS |
|
|
Face Detection (Q)
|
100% |
27178
322.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
15301
117.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
26354
203.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
30200
234.7 IPS |
|
|
Style Transfer (SP)
|
100% |
41932
53.9 IPS |
|
|
Style Transfer (HP)
|
100% |
52130
67.0 IPS |
|
|
Style Transfer (Q)
|
98% |
130108
167.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6966
257.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11941
440.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17461
646.7 IPS |
|
|
Text Classification (SP)
|
71% |
1357
1.96 KIPS |
|
|
Text Classification (HP)
|
71% |
2227
3.22 KIPS |
|
|
Text Classification (Q)
|
92% |
1993
2.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
2585
44.5 IPS |
|
|
Machine Translation (HP)
|
98% |
3438
59.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3465
59.9 IPS |
