Alienware Alienware m16 R2
Geekbench AI Score
2888
Single Precision Score
708
Half Precision Score
3800
Quantized Score
Geekbench AI 1.0.0 Corporate for Windows AVX2
Result Information
| Upload Date | August 11 2024 07:31 PM |
| Views | 14 |
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% |
1688
314.0 IPS |
|
|
Image Classification (HP)
|
100% |
141
26.2 IPS |
|
|
Image Classification (Q)
|
99% |
3330
621.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1348
21.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
243
3.95 IPS |
|
|
Image Segmentation (Q)
|
98% |
2507
40.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5655
6.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
3548
4.14 IPS |
|
|
Pose Estimation (Q)
|
95% |
20999
24.6 IPS |
|
|
Object Detection (SP)
|
100% |
1927
152.8 IPS |
|
|
Object Detection (HP)
|
100% |
193
15.3 IPS |
|
|
Object Detection (Q)
|
88% |
1711
137.2 IPS |
|
|
Face Detection (SP)
|
100% |
3326
39.5 IPS |
|
|
Face Detection (HP)
|
100% |
293
3.48 IPS |
|
|
Face Detection (Q)
|
97% |
3826
45.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6061
46.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
893
6.88 IPS |
|
|
Depth Estimation (Q)
|
76% |
7727
62.3 IPS |
|
|
Style Transfer (SP)
|
100% |
13440
17.3 IPS |
|
|
Style Transfer (HP)
|
100% |
9030
11.6 IPS |
|
|
Style Transfer (Q)
|
98% |
18600
24.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2420
89.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1676
61.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3707
137.3 IPS |
|
|
Text Classification (SP)
|
100% |
1406
1.88 KIPS |
|
|
Text Classification (HP)
|
100% |
576
768.2 IPS |
|
|
Text Classification (Q)
|
97% |
541
725.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1766
30.4 IPS |
|
|
Machine Translation (HP)
|
100% |
592
10.2 IPS |
|
|
Machine Translation (Q)
|
60% |
1899
42.4 IPS |
