Alienware Alienware m15 R6
Geekbench AI Score
2284
Single Precision Score
1096
Half Precision Score
4554
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | March 20 2025 08:55 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-11400H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Famille (64-bit) |
| Model | Alienware Alienware m15 R6 |
| Motherboard | Alienware 0CT8N2 |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | Intel Core i5-11400H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 141 Stepping 1 |
| Base Frequency | 2.69 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1789
332.6 IPS |
|
|
Image Classification (HP)
|
100% |
409
76.0 IPS |
|
|
Image Classification (Q)
|
99% |
4884
910.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
946
15.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
635
10.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2468
40.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3628
4.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
2923
3.41 IPS |
|
|
Pose Estimation (Q)
|
94% |
12795
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1867
148.1 IPS |
|
|
Object Detection (HP)
|
100% |
512
40.6 IPS |
|
|
Object Detection (Q)
|
86% |
4387
352.6 IPS |
|
|
Face Detection (SP)
|
100% |
2617
31.1 IPS |
|
|
Face Detection (HP)
|
100% |
1059
12.6 IPS |
|
|
Face Detection (Q)
|
97% |
6508
77.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4847
37.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1564
12.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
10083
80.5 IPS |
|
|
Style Transfer (SP)
|
100% |
8638
11.1 IPS |
|
|
Style Transfer (HP)
|
100% |
7029
9.04 IPS |
|
|
Style Transfer (Q)
|
98% |
12163
15.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1643
60.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1461
53.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3045
112.7 IPS |
|
|
Text Classification (SP)
|
100% |
1380
1.84 KIPS |
|
|
Text Classification (HP)
|
100% |
711
948.8 IPS |
|
|
Text Classification (Q)
|
97% |
1347
1.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
1357
23.4 IPS |
|
|
Machine Translation (HP)
|
100% |
535
9.21 IPS |
|
|
Machine Translation (Q)
|
65% |
1733
34.8 IPS |
