Alienware Alienware m16 R1
Geekbench AI Score
26279
Single Precision Score
39436
Half Precision Score
20325
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | benchmark_agent |
| Upload Date | April 10 2025 04:37 PM |
| Views | 2 |
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% |
9971
1.85 KIPS |
|
|
Image Classification (HP)
|
99% |
14678
2.74 KIPS |
|
|
Image Classification (Q)
|
100% |
8652
1.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17269
279.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
21965
356.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
15967
259.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
182604
213.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
400458
467.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
163000
191.0 IPS |
|
|
Object Detection (SP)
|
100% |
12784
1.01 KIPS |
|
|
Object Detection (HP)
|
100% |
17967
1.43 KIPS |
|
|
Object Detection (Q)
|
85% |
11160
897.8 IPS |
|
|
Face Detection (SP)
|
100% |
36480
433.5 IPS |
|
|
Face Detection (HP)
|
100% |
49127
583.7 IPS |
|
|
Face Detection (Q)
|
97% |
31732
378.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
63355
488.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
111185
859.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
48832
390.0 IPS |
|
|
Style Transfer (SP)
|
100% |
299763
385.3 IPS |
|
|
Style Transfer (HP)
|
100% |
674147
866.6 IPS |
|
|
Style Transfer (Q)
|
98% |
259463
334.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
43216
1.60 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
61230
2.26 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33861
1.25 KIPS |
|
|
Text Classification (SP)
|
100% |
3194
4.26 KIPS |
|
|
Text Classification (HP)
|
99% |
4032
5.38 KIPS |
|
|
Text Classification (Q)
|
97% |
1782
2.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
4087
70.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4315
74.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1974
37.0 IPS |
