Alienware Alienware m15 R4
Geekbench AI Score
954
Single Precision Score
1099
Half Precision Score
783
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 14 2025 04:02 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Alienware Alienware m15 R4 |
| Motherboard | Alienware Alienware m15 R4 |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i7-10870H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 2 |
| Base Frequency | 2.21 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
394
73.2 IPS |
|
|
Image Classification (HP)
|
100% |
459
85.4 IPS |
|
|
Image Classification (Q)
|
100% |
403
75.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
603
9.77 IPS |
|
|
Image Segmentation (HP)
|
100% |
675
10.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
516
8.39 IPS |
|
|
Pose Estimation (SP)
|
100% |
2265
2.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
3606
4.21 IPS |
|
|
Pose Estimation (Q)
|
97% |
2079
2.43 IPS |
|
|
Object Detection (SP)
|
100% |
484
38.4 IPS |
|
|
Object Detection (HP)
|
98% |
489
38.9 IPS |
|
|
Object Detection (Q)
|
86% |
444
35.7 IPS |
|
|
Face Detection (SP)
|
100% |
917
10.9 IPS |
|
|
Face Detection (HP)
|
100% |
1092
13.0 IPS |
|
|
Face Detection (Q)
|
97% |
853
10.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1707
13.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
2107
16.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
1484
11.9 IPS |
|
|
Style Transfer (SP)
|
100% |
5811
7.47 IPS |
|
|
Style Transfer (HP)
|
100% |
8613
11.1 IPS |
|
|
Style Transfer (Q)
|
98% |
5095
6.57 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1154
42.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1625
60.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
916
33.9 IPS |
|
|
Text Classification (SP)
|
100% |
485
646.8 IPS |
|
|
Text Classification (HP)
|
100% |
301
402.1 IPS |
|
|
Text Classification (Q)
|
97% |
278
371.8 IPS |
|
|
Machine Translation (SP)
|
100% |
474
8.17 IPS |
|
|
Machine Translation (HP)
|
100% |
488
8.41 IPS |
|
|
Machine Translation (Q)
|
70% |
278
5.21 IPS |
