Alienware Alienware m16 R1
Geekbench AI Score
4878
Single Precision Score
4816
Half Precision Score
10482
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | voronczoff |
| Upload Date | April 03 2025 09:41 PM |
| Views | 8 |
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 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% |
2864
532.6 IPS |
|
|
Image Classification (HP)
|
100% |
2929
544.8 IPS |
|
|
Image Classification (Q)
|
100% |
7157
1.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4353
70.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4396
71.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
8125
131.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7160
8.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
7151
8.34 IPS |
|
|
Pose Estimation (Q)
|
96% |
20699
24.2 IPS |
|
|
Object Detection (SP)
|
100% |
2755
218.6 IPS |
|
|
Object Detection (HP)
|
100% |
2724
216.1 IPS |
|
|
Object Detection (Q)
|
88% |
7596
608.9 IPS |
|
|
Face Detection (SP)
|
100% |
8848
105.1 IPS |
|
|
Face Detection (HP)
|
100% |
8951
106.4 IPS |
|
|
Face Detection (Q)
|
100% |
17107
203.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7517
57.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
7440
57.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
18747
145.8 IPS |
|
|
Style Transfer (SP)
|
100% |
20252
26.0 IPS |
|
|
Style Transfer (HP)
|
100% |
20411
26.2 IPS |
|
|
Style Transfer (Q)
|
98% |
56760
73.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3609
133.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3382
124.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11599
429.6 IPS |
|
|
Text Classification (SP)
|
100% |
2502
3.34 KIPS |
|
|
Text Classification (HP)
|
100% |
2507
3.35 KIPS |
|
|
Text Classification (Q)
|
92% |
4369
5.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
2551
43.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2323
40.0 IPS |
|
|
Machine Translation (Q)
|
100% |
1899
32.7 IPS |
