Alienware Alienware m16 R1
Geekbench AI Score
2662
Single Precision Score
882
Half Precision Score
3874
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | voronczoff |
| Upload Date | April 03 2025 09:27 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-13900HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Alienware Alienware m16 R1 |
| Motherboard | Alienware 0TR9W6 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900HX |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3048
566.8 IPS |
|
|
Image Classification (HP)
|
100% |
469
87.2 IPS |
|
|
Image Classification (Q)
|
99% |
3729
695.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1366
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
773
12.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3108
50.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7456
8.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
2408
2.81 IPS |
|
|
Pose Estimation (Q)
|
94% |
18397
21.6 IPS |
|
|
Object Detection (SP)
|
100% |
2918
231.5 IPS |
|
|
Object Detection (HP)
|
100% |
419
33.2 IPS |
|
|
Object Detection (Q)
|
86% |
2930
235.5 IPS |
|
|
Face Detection (SP)
|
100% |
5381
63.9 IPS |
|
|
Face Detection (HP)
|
100% |
1185
14.1 IPS |
|
|
Face Detection (Q)
|
97% |
7264
86.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4812
37.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1357
10.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
8790
70.1 IPS |
|
|
Style Transfer (SP)
|
100% |
9956
12.8 IPS |
|
|
Style Transfer (HP)
|
100% |
4666
6.00 IPS |
|
|
Style Transfer (Q)
|
98% |
11543
14.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1303
48.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
892
33.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1880
69.6 IPS |
|
|
Text Classification (SP)
|
100% |
613
818.2 IPS |
|
|
Text Classification (HP)
|
100% |
280
373.2 IPS |
|
|
Text Classification (Q)
|
97% |
676
905.0 IPS |
|
|
Machine Translation (SP)
|
100% |
958
16.5 IPS |
|
|
Machine Translation (HP)
|
100% |
416
7.16 IPS |
|
|
Machine Translation (Q)
|
65% |
1303
26.2 IPS |
