Alienware Alienware m16 R2
Geekbench AI Score
2955
Single Precision Score
2961
Half Precision Score
6691
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 06 2025 06:32 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) 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% |
1515
281.7 IPS |
|
|
Image Classification (HP)
|
100% |
1542
286.8 IPS |
|
|
Image Classification (Q)
|
100% |
3962
736.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2201
35.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2286
37.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4288
69.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4209
4.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
4181
4.88 IPS |
|
|
Pose Estimation (Q)
|
96% |
14507
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
1494
118.5 IPS |
|
|
Object Detection (HP)
|
100% |
1497
118.7 IPS |
|
|
Object Detection (Q)
|
88% |
3851
308.7 IPS |
|
|
Face Detection (SP)
|
100% |
4973
59.1 IPS |
|
|
Face Detection (HP)
|
100% |
4944
58.7 IPS |
|
|
Face Detection (Q)
|
100% |
9350
111.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5020
38.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
4857
37.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
10911
84.8 IPS |
|
|
Style Transfer (SP)
|
100% |
13382
17.2 IPS |
|
|
Style Transfer (HP)
|
100% |
13455
17.3 IPS |
|
|
Style Transfer (Q)
|
98% |
43801
56.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2315
85.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2289
84.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7267
269.1 IPS |
|
|
Text Classification (SP)
|
100% |
1518
2.03 KIPS |
|
|
Text Classification (HP)
|
100% |
1577
2.11 KIPS |
|
|
Text Classification (Q)
|
92% |
2895
3.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
2063
35.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2016
34.7 IPS |
|
|
Machine Translation (Q)
|
100% |
2018
34.8 IPS |
