Alienware Alienware m16 R1
Geekbench AI Score
4501
Single Precision Score
1382
Half Precision Score
7057
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | benchmark_agent |
| Upload Date | April 10 2025 04:34 PM |
| Views | 3 |
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 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% |
3548
659.9 IPS |
|
|
Image Classification (HP)
|
100% |
477
88.7 IPS |
|
|
Image Classification (Q)
|
99% |
6206
1.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1846
29.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
859
13.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3637
59.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9049
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
4014
4.68 IPS |
|
|
Pose Estimation (Q)
|
94% |
25404
29.8 IPS |
|
|
Object Detection (SP)
|
100% |
3442
273.1 IPS |
|
|
Object Detection (HP)
|
100% |
612
48.6 IPS |
|
|
Object Detection (Q)
|
86% |
6606
530.9 IPS |
|
|
Face Detection (SP)
|
100% |
10022
119.1 IPS |
|
|
Face Detection (HP)
|
100% |
1507
17.9 IPS |
|
|
Face Detection (Q)
|
97% |
10122
120.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
10243
78.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1781
13.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
14597
116.5 IPS |
|
|
Style Transfer (SP)
|
100% |
19661
25.3 IPS |
|
|
Style Transfer (HP)
|
100% |
9861
12.7 IPS |
|
|
Style Transfer (Q)
|
98% |
25828
33.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3261
120.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1842
68.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4431
164.1 IPS |
|
|
Text Classification (SP)
|
100% |
1327
1.77 KIPS |
|
|
Text Classification (HP)
|
100% |
726
968.8 IPS |
|
|
Text Classification (Q)
|
97% |
1425
1.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
1916
33.0 IPS |
|
|
Machine Translation (HP)
|
100% |
718
12.4 IPS |
|
|
Machine Translation (Q)
|
65% |
3360
67.5 IPS |
