Alienware Alienware m15 R6
Geekbench ML Score
1294
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 21 2024 12:31 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Alienware Alienware m15 R6 |
| Motherboard | Alienware 0WY027 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-11800H |
| Topology | 1 Processor, 7 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 141 Stepping 1 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 7 Cores |
| L1 Instruction Cache | 32.0 KB x 7 |
| L1 Data Cache | 48.0 KB x 7 |
| L2 Cache | 1.25 MB x 7 |
| L3 Cache | 24.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
602
112.6 IPS |
|
|
Image Classification (F16)
|
100% |
610
114.2 IPS |
|
|
Image Classification (I8)
|
100% |
496
92.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
901
15.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
890
14.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
683
11.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
4766
5.77 IPS |
|
|
Pose Estimation (F16)
|
100% |
4775
5.78 IPS |
|
|
Pose Estimation (I8)
|
100% |
3181
3.85 IPS |
|
|
Object Detection (F32)
|
100% |
674
50.3 IPS |
|
|
Object Detection (F16)
|
100% |
683
51.0 IPS |
|
|
Object Detection (I8)
|
54% |
571
42.6 IPS |
|
|
Face Detection (F32)
|
100% |
1306
15.5 IPS |
|
|
Face Detection (F16)
|
100% |
1308
15.5 IPS |
|
|
Face Detection (I8)
|
89% |
923
11.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
2715
21.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
2712
21.0 IPS |
|
|
Depth Estimation (I8)
|
95% |
2079
16.1 IPS |
|
|
Style Transfer (F32)
|
100% |
9653
12.7 IPS |
|
|
Style Transfer (F16)
|
100% |
9627
12.7 IPS |
|
|
Style Transfer (I8)
|
98% |
7296
9.60 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1622
57.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1599
57.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
877
31.3 IPS |
|
|
Text Classification (F32)
|
100% |
736
1.06 KIPS |
|
|
Text Classification (F16)
|
100% |
718
1.03 KIPS |
|
|
Text Classification (I8)
|
98% |
367
528.0 IPS |
|
|
Machine Translation (F32)
|
100% |
663
12.2 IPS |
|
|
Machine Translation (F16)
|
100% |
665
12.2 IPS |
|
|
Machine Translation (I8)
|
70% |
379
6.97 IPS |
