Alienware Alienware m16 R2
Geekbench AI Score
2943
Single Precision Score
2934
Half Precision Score
7693
Quantized Score
Geekbench AI 1.0.0 Corporate for Windows AVX2
Result Information
| Upload Date | August 11 2024 05:35 PM |
| Views | 12 |
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% |
1613
299.9 IPS |
|
|
Image Classification (HP)
|
100% |
1643
305.6 IPS |
|
|
Image Classification (Q)
|
100% |
4302
799.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2129
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2646
42.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4210
68.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3915
4.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
3921
4.57 IPS |
|
|
Pose Estimation (Q)
|
96% |
18460
21.6 IPS |
|
|
Object Detection (SP)
|
100% |
1579
125.3 IPS |
|
|
Object Detection (HP)
|
100% |
1581
125.4 IPS |
|
|
Object Detection (Q)
|
88% |
4294
344.2 IPS |
|
|
Face Detection (SP)
|
100% |
5566
66.1 IPS |
|
|
Face Detection (HP)
|
100% |
4967
59.0 IPS |
|
|
Face Detection (Q)
|
100% |
9713
115.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5253
40.5 IPS |
|
|
Depth Estimation (HP)
|
100% |
5718
44.1 IPS |
|
|
Depth Estimation (Q)
|
80% |
11603
91.9 IPS |
|
|
Style Transfer (SP)
|
100% |
15849
20.4 IPS |
|
|
Style Transfer (HP)
|
100% |
14215
18.3 IPS |
|
|
Style Transfer (Q)
|
98% |
51565
66.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2556
94.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2667
98.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8361
309.7 IPS |
|
|
Text Classification (SP)
|
100% |
859
1.15 KIPS |
|
|
Text Classification (HP)
|
100% |
735
981.2 IPS |
|
|
Text Classification (Q)
|
92% |
2888
3.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
2257
38.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2218
38.2 IPS |
|
|
Machine Translation (Q)
|
85% |
3607
63.1 IPS |
