Alienware Alienware m16 R1
Geekbench AI Score
4846
Single Precision Score
4843
Half Precision Score
11194
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | benchmark_agent |
| Upload Date | April 10 2025 04:42 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i9-13900HX |
| 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% |
2954
549.4 IPS |
|
|
Image Classification (HP)
|
100% |
2957
549.8 IPS |
|
|
Image Classification (Q)
|
100% |
7884
1.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4090
66.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3901
63.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
8703
141.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6978
8.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
6993
8.16 IPS |
|
|
Pose Estimation (Q)
|
96% |
21966
25.7 IPS |
|
|
Object Detection (SP)
|
100% |
2760
218.9 IPS |
|
|
Object Detection (HP)
|
100% |
2773
220.0 IPS |
|
|
Object Detection (Q)
|
88% |
7734
620.0 IPS |
|
|
Face Detection (SP)
|
100% |
9040
107.4 IPS |
|
|
Face Detection (HP)
|
100% |
9061
107.7 IPS |
|
|
Face Detection (Q)
|
100% |
17629
209.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7916
61.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
8032
61.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
20635
160.5 IPS |
|
|
Style Transfer (SP)
|
100% |
19647
25.3 IPS |
|
|
Style Transfer (HP)
|
100% |
19681
25.3 IPS |
|
|
Style Transfer (Q)
|
98% |
61044
78.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3991
147.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4050
149.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12890
477.4 IPS |
|
|
Text Classification (SP)
|
100% |
2463
3.29 KIPS |
|
|
Text Classification (HP)
|
100% |
2495
3.33 KIPS |
|
|
Text Classification (Q)
|
92% |
4422
5.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
2222
38.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2193
37.8 IPS |
|
|
Machine Translation (Q)
|
100% |
2094
36.1 IPS |
