Alienware Alienware m16 R2
Geekbench AI Score
2927
Single Precision Score
713
Half Precision Score
3808
Quantized Score
Geekbench AI 1.0.0 Corporate for Windows AVX2
Result Information
| Upload Date | August 11 2024 10:49 AM |
| Views | 19 |
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 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% |
1677
311.8 IPS |
|
|
Image Classification (HP)
|
100% |
141
26.3 IPS |
|
|
Image Classification (Q)
|
99% |
3288
613.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1331
21.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
239
3.87 IPS |
|
|
Image Segmentation (Q)
|
98% |
2553
41.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5658
6.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
3543
4.13 IPS |
|
|
Pose Estimation (Q)
|
95% |
21216
24.9 IPS |
|
|
Object Detection (SP)
|
100% |
1962
155.6 IPS |
|
|
Object Detection (HP)
|
100% |
194
15.4 IPS |
|
|
Object Detection (Q)
|
88% |
1704
136.6 IPS |
|
|
Face Detection (SP)
|
100% |
3433
40.8 IPS |
|
|
Face Detection (HP)
|
100% |
288
3.42 IPS |
|
|
Face Detection (Q)
|
97% |
3774
45.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6272
48.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
899
6.93 IPS |
|
|
Depth Estimation (Q)
|
76% |
7824
63.0 IPS |
|
|
Style Transfer (SP)
|
100% |
13752
17.7 IPS |
|
|
Style Transfer (HP)
|
100% |
8992
11.6 IPS |
|
|
Style Transfer (Q)
|
98% |
18367
23.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2596
95.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1718
63.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3842
142.3 IPS |
|
|
Text Classification (SP)
|
100% |
1405
1.87 KIPS |
|
|
Text Classification (HP)
|
100% |
618
824.9 IPS |
|
|
Text Classification (Q)
|
97% |
515
689.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1729
29.8 IPS |
|
|
Machine Translation (HP)
|
100% |
595
10.2 IPS |
|
|
Machine Translation (Q)
|
60% |
1971
44.0 IPS |
