Alienware Alienware m16 R1
Geekbench ML Score
17709
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | February 02 2026 08:18 PM |
| Views | 9 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Alienware Alienware m16 R1 |
| Motherboard | Alienware 0TR9W6 |
| Power Plan | High performance |
| 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 |
| L1 Instruction Cache | 32.0 KB x 16 |
| L1 Data Cache | 48.0 KB x 16 |
| L2 Cache | 2.00 MB x 4 |
| L3 Cache | 36.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | GeForce RTX 4080 Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
7568
1.42 KIPS |
|
|
Image Classification (F16)
|
100% |
7432
1.39 KIPS |
|
|
Image Classification (I8)
|
100% |
7361
1.38 KIPS |
|
|
Image Segmentation (F32)
|
100% |
11646
194.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
11724
195.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
10732
179.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
129327
156.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
136213
164.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
121588
147.2 IPS |
|
|
Object Detection (F32)
|
100% |
6344
473.6 IPS |
|
|
Object Detection (F16)
|
100% |
6143
458.6 IPS |
|
|
Object Detection (I8)
|
63% |
5564
415.4 IPS |
|
|
Face Detection (F32)
|
100% |
24980
297.0 IPS |
|
|
Face Detection (F16)
|
100% |
25963
308.7 IPS |
|
|
Face Detection (I8)
|
89% |
22208
264.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
59866
464.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
53086
411.7 IPS |
|
|
Depth Estimation (I8)
|
94% |
43634
338.4 IPS |
|
|
Style Transfer (F32)
|
100% |
220270
289.7 IPS |
|
|
Style Transfer (F16)
|
100% |
220006
289.4 IPS |
|
|
Style Transfer (I8)
|
98% |
199024
261.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
31254
1.12 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
31543
1.13 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
23205
828.7 IPS |
|
|
Text Classification (F32)
|
100% |
2572
3.70 KIPS |
|
|
Text Classification (F16)
|
100% |
2525
3.63 KIPS |
|
|
Text Classification (I8)
|
98% |
1456
2.09 KIPS |
|
|
Machine Translation (F32)
|
100% |
3367
62.0 IPS |
|
|
Machine Translation (F16)
|
100% |
3343
61.5 IPS |
|
|
Machine Translation (I8)
|
70% |
2114
38.9 IPS |
