Alienware Alienware m15 R6
Geekbench ML Score
3656
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 21 2024 12:32 AM |
| 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, 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2035
380.8 IPS |
|
|
Image Classification (F16)
|
100% |
1979
370.3 IPS |
|
|
Image Classification (I8)
|
99% |
4143
775.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1591
26.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1704
28.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
2767
46.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
6348
7.69 IPS |
|
|
Pose Estimation (F16)
|
100% |
6130
7.42 IPS |
|
|
Pose Estimation (I8)
|
100% |
19899
24.1 IPS |
|
|
Object Detection (F32)
|
100% |
1839
137.3 IPS |
|
|
Object Detection (F16)
|
100% |
1519
113.4 IPS |
|
|
Object Detection (I8)
|
62% |
1877
140.1 IPS |
|
|
Face Detection (F32)
|
100% |
2573
30.6 IPS |
|
|
Face Detection (F16)
|
100% |
2700
32.1 IPS |
|
|
Face Detection (I8)
|
89% |
4540
54.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
7001
54.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
7013
54.4 IPS |
|
|
Depth Estimation (I8)
|
96% |
14510
112.5 IPS |
|
|
Style Transfer (F32)
|
100% |
14559
19.2 IPS |
|
|
Style Transfer (F16)
|
100% |
14658
19.3 IPS |
|
|
Style Transfer (I8)
|
98% |
19512
25.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3126
111.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2926
104.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4688
167.4 IPS |
|
|
Text Classification (F32)
|
100% |
1645
2.36 KIPS |
|
|
Text Classification (F16)
|
100% |
1458
2.10 KIPS |
|
|
Text Classification (I8)
|
98% |
1182
1.70 KIPS |
|
|
Machine Translation (F32)
|
100% |
2054
37.8 IPS |
|
|
Machine Translation (F16)
|
100% |
2087
38.4 IPS |
|
|
Machine Translation (I8)
|
67% |
3144
57.9 IPS |
