Alienware Alienware m16 R2
Geekbench AI Score
3104
Single Precision Score
1326
Half Precision Score
4995
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 06 2025 06:27 AM |
| Views | 2 |
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 01HV0T |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2148
399.4 IPS |
|
|
Image Classification (HP)
|
100% |
480
89.2 IPS |
|
|
Image Classification (Q)
|
99% |
4793
893.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1041
16.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
851
13.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2479
40.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5434
6.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
3604
4.21 IPS |
|
|
Pose Estimation (Q)
|
94% |
21115
24.8 IPS |
|
|
Object Detection (SP)
|
100% |
2270
180.0 IPS |
|
|
Object Detection (HP)
|
100% |
600
47.6 IPS |
|
|
Object Detection (Q)
|
86% |
4480
360.0 IPS |
|
|
Face Detection (SP)
|
100% |
6607
78.5 IPS |
|
|
Face Detection (HP)
|
100% |
1445
17.2 IPS |
|
|
Face Detection (Q)
|
97% |
7463
89.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7122
54.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1907
14.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
13181
105.2 IPS |
|
|
Style Transfer (SP)
|
100% |
13447
17.3 IPS |
|
|
Style Transfer (HP)
|
100% |
8988
11.6 IPS |
|
|
Style Transfer (Q)
|
98% |
19509
25.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2374
87.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1732
64.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3684
136.4 IPS |
|
|
Text Classification (SP)
|
100% |
1248
1.67 KIPS |
|
|
Text Classification (HP)
|
100% |
659
879.6 IPS |
|
|
Text Classification (Q)
|
97% |
536
717.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1609
27.7 IPS |
|
|
Machine Translation (HP)
|
100% |
677
11.7 IPS |
|
|
Machine Translation (Q)
|
65% |
2274
45.7 IPS |
