Alienware Alienware m15 R6
Geekbench ML Score
3332
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 27 2024 05:55 PM |
| Views | 1 |
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, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 141 Stepping 1 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 6 Cores |
| L1 Instruction Cache | 32.0 KB x 6 |
| L1 Data Cache | 48.0 KB x 6 |
| L2 Cache | 1.25 MB x 6 |
| L3 Cache | 24.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1880
351.8 IPS |
|
|
Image Classification (F16)
|
100% |
1745
326.6 IPS |
|
|
Image Classification (I8)
|
99% |
3680
688.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1497
25.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1308
21.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
2582
43.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
5237
6.34 IPS |
|
|
Pose Estimation (F16)
|
100% |
5221
6.32 IPS |
|
|
Pose Estimation (I8)
|
100% |
18153
22.0 IPS |
|
|
Object Detection (F32)
|
100% |
1549
115.6 IPS |
|
|
Object Detection (F16)
|
100% |
1596
119.2 IPS |
|
|
Object Detection (I8)
|
62% |
1901
141.9 IPS |
|
|
Face Detection (F32)
|
100% |
2628
31.3 IPS |
|
|
Face Detection (F16)
|
100% |
2552
30.3 IPS |
|
|
Face Detection (I8)
|
89% |
4204
50.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
4787
37.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
6413
49.7 IPS |
|
|
Depth Estimation (I8)
|
96% |
13558
105.1 IPS |
|
|
Style Transfer (F32)
|
100% |
10469
13.8 IPS |
|
|
Style Transfer (F16)
|
100% |
12936
17.0 IPS |
|
|
Style Transfer (I8)
|
98% |
17717
23.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2712
96.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2921
104.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4406
157.3 IPS |
|
|
Text Classification (F32)
|
100% |
1651
2.37 KIPS |
|
|
Text Classification (F16)
|
100% |
1430
2.06 KIPS |
|
|
Text Classification (I8)
|
98% |
1203
1.73 KIPS |
|
|
Machine Translation (F32)
|
100% |
1998
36.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1998
36.8 IPS |
|
|
Machine Translation (I8)
|
67% |
3025
55.7 IPS |
