Alienware Alienware m15
Geekbench AI Score
1880
Single Precision Score
862
Half Precision Score
2389
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | tobyg |
| Upload Date | February 03 2025 04:18 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-8750H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Alienware Alienware m15 |
| Motherboard | Alienware 03R2RY |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8750H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.21 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1409
262.1 IPS |
|
|
Image Classification (HP)
|
100% |
323
60.0 IPS |
|
|
Image Classification (Q)
|
96% |
2549
476.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
821
13.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
478
7.75 IPS |
|
|
Image Segmentation (Q)
|
97% |
1278
20.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2923
3.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
2407
2.81 IPS |
|
|
Pose Estimation (Q)
|
86% |
5822
6.88 IPS |
|
|
Object Detection (SP)
|
100% |
1323
104.9 IPS |
|
|
Object Detection (HP)
|
100% |
407
32.3 IPS |
|
|
Object Detection (Q)
|
58% |
1536
167.9 IPS |
|
|
Face Detection (SP)
|
100% |
2435
28.9 IPS |
|
|
Face Detection (HP)
|
100% |
824
9.79 IPS |
|
|
Face Detection (Q)
|
96% |
4258
50.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3734
28.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1185
9.13 IPS |
|
|
Depth Estimation (Q)
|
78% |
5481
43.7 IPS |
|
|
Style Transfer (SP)
|
100% |
7364
9.47 IPS |
|
|
Style Transfer (HP)
|
100% |
5546
7.13 IPS |
|
|
Style Transfer (Q)
|
87% |
9403
12.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1262
46.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1102
40.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1900
70.4 IPS |
|
|
Text Classification (SP)
|
100% |
1143
1.53 KIPS |
|
|
Text Classification (HP)
|
100% |
537
716.9 IPS |
|
|
Text Classification (Q)
|
97% |
354
474.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1278
22.0 IPS |
|
|
Machine Translation (HP)
|
100% |
471
8.12 IPS |
|
|
Machine Translation (Q)
|
68% |
1410
27.2 IPS |
