Alienware Alienware m16 R2
Geekbench AI Score
2897
Single Precision Score
1266
Half Precision Score
3903
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | JustJosh |
| Upload Date | October 23 2024 09:39 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 7 155H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Alienware Alienware m16 R2 |
| Motherboard | Alienware 08NHVY |
| 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% |
1675
311.5 IPS |
|
|
Image Classification (HP)
|
100% |
446
82.9 IPS |
|
|
Image Classification (Q)
|
99% |
3207
598.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1364
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
949
15.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2710
44.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5643
6.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
3594
4.19 IPS |
|
|
Pose Estimation (Q)
|
95% |
21099
24.7 IPS |
|
|
Object Detection (SP)
|
100% |
1922
152.5 IPS |
|
|
Object Detection (HP)
|
100% |
521
41.3 IPS |
|
|
Object Detection (Q)
|
88% |
1759
141.0 IPS |
|
|
Face Detection (SP)
|
100% |
3416
40.6 IPS |
|
|
Face Detection (HP)
|
100% |
1444
17.2 IPS |
|
|
Face Detection (Q)
|
97% |
3899
46.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6234
48.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1837
14.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
7887
63.1 IPS |
|
|
Style Transfer (SP)
|
100% |
13545
17.4 IPS |
|
|
Style Transfer (HP)
|
100% |
9252
11.9 IPS |
|
|
Style Transfer (Q)
|
98% |
18829
24.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2375
87.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1693
62.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3897
144.3 IPS |
|
|
Text Classification (SP)
|
100% |
1356
1.81 KIPS |
|
|
Text Classification (HP)
|
100% |
515
687.7 IPS |
|
|
Text Classification (Q)
|
97% |
559
748.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1813
31.2 IPS |
|
|
Machine Translation (HP)
|
100% |
625
10.8 IPS |
|
|
Machine Translation (Q)
|
60% |
2020
45.1 IPS |
