Alienware Alienware m15 R6
Geekbench ML Score
2792
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 22 2024 07:32 PM |
| 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, 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% |
1411
264.0 IPS |
|
|
Image Classification (F16)
|
100% |
1321
247.2 IPS |
|
|
Image Classification (I8)
|
99% |
3788
708.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1373
22.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1274
21.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
1951
32.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
3871
4.69 IPS |
|
|
Pose Estimation (F16)
|
100% |
4410
5.34 IPS |
|
|
Pose Estimation (I8)
|
100% |
18347
22.2 IPS |
|
|
Object Detection (F32)
|
100% |
959
71.6 IPS |
|
|
Object Detection (F16)
|
100% |
1175
87.7 IPS |
|
|
Object Detection (I8)
|
62% |
1627
121.5 IPS |
|
|
Face Detection (F32)
|
100% |
2377
28.3 IPS |
|
|
Face Detection (F16)
|
100% |
2344
27.9 IPS |
|
|
Face Detection (I8)
|
89% |
3889
46.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
4267
33.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
4823
37.4 IPS |
|
|
Depth Estimation (I8)
|
96% |
12340
95.7 IPS |
|
|
Style Transfer (F32)
|
100% |
9040
11.9 IPS |
|
|
Style Transfer (F16)
|
100% |
10100
13.3 IPS |
|
|
Style Transfer (I8)
|
98% |
17930
23.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2810
100.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2601
92.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4593
164.0 IPS |
|
|
Text Classification (F32)
|
100% |
1643
2.36 KIPS |
|
|
Text Classification (F16)
|
100% |
1238
1.78 KIPS |
|
|
Text Classification (I8)
|
98% |
351
504.4 IPS |
|
|
Machine Translation (F32)
|
100% |
1787
32.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1761
32.4 IPS |
|
|
Machine Translation (I8)
|
67% |
2547
46.9 IPS |
