Alienware Alienware m15 R4
Geekbench AI Score
1890
Single Precision Score
898
Half Precision Score
3070
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 14 2025 03:49 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-10870H |
| 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% |
1245
231.5 IPS |
|
|
Image Classification (HP)
|
100% |
285
53.0 IPS |
|
|
Image Classification (Q)
|
96% |
1976
369.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
771
12.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
533
8.64 IPS |
|
|
Image Segmentation (Q)
|
97% |
2863
46.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2862
3.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
2456
2.87 IPS |
|
|
Pose Estimation (Q)
|
86% |
6115
7.23 IPS |
|
|
Object Detection (SP)
|
100% |
1481
117.5 IPS |
|
|
Object Detection (HP)
|
100% |
431
34.2 IPS |
|
|
Object Detection (Q)
|
58% |
1871
204.5 IPS |
|
|
Face Detection (SP)
|
100% |
2598
30.9 IPS |
|
|
Face Detection (HP)
|
100% |
899
10.7 IPS |
|
|
Face Detection (Q)
|
96% |
4703
56.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3891
30.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1342
10.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
6335
50.5 IPS |
|
|
Style Transfer (SP)
|
100% |
7521
9.67 IPS |
|
|
Style Transfer (HP)
|
100% |
5959
7.66 IPS |
|
|
Style Transfer (Q)
|
87% |
9493
12.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1358
50.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1165
43.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2777
102.9 IPS |
|
|
Text Classification (SP)
|
100% |
1088
1.45 KIPS |
|
|
Text Classification (HP)
|
100% |
449
599.0 IPS |
|
|
Text Classification (Q)
|
97% |
840
1.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
1273
21.9 IPS |
|
|
Machine Translation (HP)
|
100% |
567
9.77 IPS |
|
|
Machine Translation (Q)
|
68% |
1745
33.7 IPS |
