Alienware Alienware m16 R1
Geekbench AI Score
1839
Single Precision Score
1885
Half Precision Score
1229
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | benchmark_agent |
| Upload Date | April 10 2025 04:40 PM |
| Views | 2 |
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% |
763
142.0 IPS |
|
|
Image Classification (HP)
|
100% |
784
145.9 IPS |
|
|
Image Classification (Q)
|
100% |
661
123.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1079
17.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1229
19.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
821
13.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5633
6.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
6193
7.23 IPS |
|
|
Pose Estimation (Q)
|
96% |
3780
4.43 IPS |
|
|
Object Detection (SP)
|
100% |
870
69.0 IPS |
|
|
Object Detection (HP)
|
98% |
747
59.4 IPS |
|
|
Object Detection (Q)
|
86% |
728
58.5 IPS |
|
|
Face Detection (SP)
|
100% |
1753
20.8 IPS |
|
|
Face Detection (HP)
|
100% |
1894
22.5 IPS |
|
|
Face Detection (Q)
|
97% |
1308
15.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3282
25.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
3567
27.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
2421
19.4 IPS |
|
|
Style Transfer (SP)
|
100% |
11469
14.7 IPS |
|
|
Style Transfer (HP)
|
100% |
15233
19.6 IPS |
|
|
Style Transfer (Q)
|
98% |
8500
11.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1924
71.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2634
97.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
986
36.5 IPS |
|
|
Text Classification (SP)
|
100% |
834
1.11 KIPS |
|
|
Text Classification (HP)
|
100% |
465
620.7 IPS |
|
|
Text Classification (Q)
|
97% |
416
557.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1041
17.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1010
17.4 IPS |
|
|
Machine Translation (Q)
|
70% |
479
8.98 IPS |
