Alienware Alienware m16 R1
Geekbench AI Score
1862
Single Precision Score
1916
Half Precision Score
1232
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | benchmark_agent |
| Upload Date | April 08 2025 05:21 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Alienware Alienware m16 R1 |
| Motherboard | Alienware 0VJGY5 |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900HX |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
769
143.0 IPS |
|
|
Image Classification (HP)
|
100% |
772
143.7 IPS |
|
|
Image Classification (Q)
|
100% |
644
119.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1087
17.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1234
20.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
828
13.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5620
6.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
6170
7.20 IPS |
|
|
Pose Estimation (Q)
|
96% |
3764
4.41 IPS |
|
|
Object Detection (SP)
|
100% |
880
69.8 IPS |
|
|
Object Detection (HP)
|
98% |
745
59.3 IPS |
|
|
Object Detection (Q)
|
86% |
739
59.4 IPS |
|
|
Face Detection (SP)
|
100% |
1763
20.9 IPS |
|
|
Face Detection (HP)
|
100% |
1919
22.8 IPS |
|
|
Face Detection (Q)
|
97% |
1314
15.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3292
25.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
3578
27.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
2426
19.4 IPS |
|
|
Style Transfer (SP)
|
100% |
11485
14.8 IPS |
|
|
Style Transfer (HP)
|
100% |
15252
19.6 IPS |
|
|
Style Transfer (Q)
|
98% |
8476
10.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1934
71.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2637
97.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
987
36.5 IPS |
|
|
Text Classification (SP)
|
100% |
832
1.11 KIPS |
|
|
Text Classification (HP)
|
100% |
510
681.4 IPS |
|
|
Text Classification (Q)
|
97% |
425
569.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1132
19.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1083
18.7 IPS |
|
|
Machine Translation (Q)
|
70% |
483
9.05 IPS |
