Alienware Alienware m16 R1 (DirectML) Alienware Alienware m16 R1
Geekbench AI Score
26346
Single Precision Score
39487
Half Precision Score
20215
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | benchmark_agent |
| Upload Date | April 08 2025 05:10 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 Laptop GPU |
| 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% |
9600
1.79 KIPS |
|
|
Image Classification (HP)
|
99% |
15520
2.89 KIPS |
|
|
Image Classification (Q)
|
100% |
8205
1.53 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16521
267.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
21027
340.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
15379
250.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
196036
228.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
401439
468.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
174223
204.1 IPS |
|
|
Object Detection (SP)
|
100% |
12606
999.9 IPS |
|
|
Object Detection (HP)
|
100% |
18262
1.45 KIPS |
|
|
Object Detection (Q)
|
85% |
10774
866.7 IPS |
|
|
Face Detection (SP)
|
100% |
36690
436.0 IPS |
|
|
Face Detection (HP)
|
100% |
46558
553.2 IPS |
|
|
Face Detection (Q)
|
97% |
30731
366.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
65228
502.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
117687
909.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
50149
400.5 IPS |
|
|
Style Transfer (SP)
|
100% |
298782
384.1 IPS |
|
|
Style Transfer (HP)
|
100% |
669788
861.0 IPS |
|
|
Style Transfer (Q)
|
98% |
267734
345.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
41972
1.55 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
59849
2.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32818
1.22 KIPS |
|
|
Text Classification (SP)
|
100% |
3323
4.43 KIPS |
|
|
Text Classification (HP)
|
99% |
4239
5.66 KIPS |
|
|
Text Classification (Q)
|
97% |
1708
2.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
4123
71.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4138
71.3 IPS |
|
|
Machine Translation (Q)
|
70% |
2081
39.0 IPS |
