Alienware Alienware m16 R2
Geekbench AI Score
3275
Single Precision Score
1317
Half Precision Score
5833
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 17 2025 03:27 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 9 185H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (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% |
2675
497.4 IPS |
|
|
Image Classification (HP)
|
100% |
485
90.2 IPS |
|
|
Image Classification (Q)
|
99% |
5394
1.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1106
17.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
765
12.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3031
49.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5508
6.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
3847
4.49 IPS |
|
|
Pose Estimation (Q)
|
94% |
19954
23.4 IPS |
|
|
Object Detection (SP)
|
100% |
2452
194.5 IPS |
|
|
Object Detection (HP)
|
100% |
596
47.2 IPS |
|
|
Object Detection (Q)
|
86% |
5619
451.6 IPS |
|
|
Face Detection (SP)
|
100% |
6677
79.3 IPS |
|
|
Face Detection (HP)
|
100% |
1402
16.7 IPS |
|
|
Face Detection (Q)
|
97% |
8095
96.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7285
56.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1916
14.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
13425
107.1 IPS |
|
|
Style Transfer (SP)
|
100% |
13647
17.5 IPS |
|
|
Style Transfer (HP)
|
100% |
9658
12.4 IPS |
|
|
Style Transfer (Q)
|
98% |
19244
24.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2360
87.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1793
66.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3504
129.7 IPS |
|
|
Text Classification (SP)
|
100% |
1326
1.77 KIPS |
|
|
Text Classification (HP)
|
100% |
584
779.9 IPS |
|
|
Text Classification (Q)
|
97% |
1275
1.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
1712
29.5 IPS |
|
|
Machine Translation (HP)
|
100% |
683
11.8 IPS |
|
|
Machine Translation (Q)
|
65% |
2664
53.5 IPS |
