Alienware Alienware m16 R2
Geekbench AI Score
3071
Single Precision Score
3165
Half Precision Score
7825
Quantized Score
Geekbench AI 1.0.0 Corporate for Windows AVX2
Result Information
| Upload Date | August 15 2024 03:50 AM |
| Views | 19 |
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 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% |
1598
297.2 IPS |
|
|
Image Classification (HP)
|
100% |
1635
304.1 IPS |
|
|
Image Classification (Q)
|
100% |
4349
808.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2635
42.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2668
43.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4684
75.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5399
6.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
5110
5.96 IPS |
|
|
Pose Estimation (Q)
|
96% |
18493
21.7 IPS |
|
|
Object Detection (SP)
|
100% |
1744
138.3 IPS |
|
|
Object Detection (HP)
|
100% |
1762
139.8 IPS |
|
|
Object Detection (Q)
|
88% |
4314
345.8 IPS |
|
|
Face Detection (SP)
|
100% |
5361
63.7 IPS |
|
|
Face Detection (HP)
|
100% |
5391
64.1 IPS |
|
|
Face Detection (Q)
|
100% |
10281
122.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5645
43.5 IPS |
|
|
Depth Estimation (HP)
|
100% |
5707
44.0 IPS |
|
|
Depth Estimation (Q)
|
80% |
12110
95.9 IPS |
|
|
Style Transfer (SP)
|
100% |
14131
18.2 IPS |
|
|
Style Transfer (HP)
|
100% |
15386
19.8 IPS |
|
|
Style Transfer (Q)
|
98% |
51894
66.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2428
89.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2647
97.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8383
310.5 IPS |
|
|
Text Classification (SP)
|
100% |
823
1.10 KIPS |
|
|
Text Classification (HP)
|
100% |
885
1.18 KIPS |
|
|
Text Classification (Q)
|
92% |
2851
3.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
2208
38.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2321
40.0 IPS |
|
|
Machine Translation (Q)
|
85% |
3432
60.0 IPS |
