Alienware Alienware m16 R1
Geekbench AI Score
4667
Single Precision Score
1426
Half Precision Score
7710
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 14 2025 12:39 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-13900HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Alienware Alienware m16 R1 |
| Motherboard | Alienware 09YV95 |
| Power Plan | Balanced |
| 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% |
3804
707.4 IPS |
|
|
Image Classification (HP)
|
100% |
496
92.2 IPS |
|
|
Image Classification (Q)
|
99% |
5927
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1702
27.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
851
13.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
10684
173.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9850
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
4141
4.83 IPS |
|
|
Pose Estimation (Q)
|
94% |
28382
33.3 IPS |
|
|
Object Detection (SP)
|
100% |
3585
284.4 IPS |
|
|
Object Detection (HP)
|
100% |
702
55.6 IPS |
|
|
Object Detection (Q)
|
86% |
6177
496.4 IPS |
|
|
Face Detection (SP)
|
100% |
10521
125.0 IPS |
|
|
Face Detection (HP)
|
100% |
1469
17.5 IPS |
|
|
Face Detection (Q)
|
97% |
9752
116.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
10710
82.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1882
14.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
15162
121.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21043
27.1 IPS |
|
|
Style Transfer (HP)
|
100% |
10237
13.2 IPS |
|
|
Style Transfer (Q)
|
98% |
23026
29.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3475
128.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1888
69.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5062
187.4 IPS |
|
|
Text Classification (SP)
|
100% |
1341
1.79 KIPS |
|
|
Text Classification (HP)
|
100% |
652
870.3 IPS |
|
|
Text Classification (Q)
|
97% |
1248
1.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
1943
33.5 IPS |
|
|
Machine Translation (HP)
|
100% |
815
14.0 IPS |
|
|
Machine Translation (Q)
|
65% |
3109
62.5 IPS |
