Alienware Alienware m15 R3
Geekbench AI Score
2785
Single Precision Score
1184
Half Precision Score
3467
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 08 2025 05:31 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-10980HK |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Alienware Alienware m15 R3 |
| Motherboard | Alienware Alienware m15 R3 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-10980HK |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 2 |
| Base Frequency | 3.10 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2858
531.5 IPS |
|
|
Image Classification (HP)
|
100% |
450
83.7 IPS |
|
|
Image Classification (Q)
|
96% |
3956
738.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1317
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
657
10.6 IPS |
|
|
Image Segmentation (Q)
|
97% |
2932
47.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4051
4.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
3335
3.89 IPS |
|
|
Pose Estimation (Q)
|
86% |
8131
9.61 IPS |
|
|
Object Detection (SP)
|
100% |
2111
167.4 IPS |
|
|
Object Detection (HP)
|
100% |
525
41.7 IPS |
|
|
Object Detection (Q)
|
58% |
2126
232.3 IPS |
|
|
Face Detection (SP)
|
100% |
3092
36.7 IPS |
|
|
Face Detection (HP)
|
100% |
1112
13.2 IPS |
|
|
Face Detection (Q)
|
96% |
5776
68.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5529
42.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1664
12.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
7902
63.1 IPS |
|
|
Style Transfer (SP)
|
100% |
9952
12.8 IPS |
|
|
Style Transfer (HP)
|
100% |
7755
9.97 IPS |
|
|
Style Transfer (Q)
|
87% |
11834
15.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1828
67.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1450
53.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3478
128.9 IPS |
|
|
Text Classification (SP)
|
100% |
1670
2.23 KIPS |
|
|
Text Classification (HP)
|
100% |
781
1.04 KIPS |
|
|
Text Classification (Q)
|
97% |
395
529.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1684
29.0 IPS |
|
|
Machine Translation (HP)
|
100% |
644
11.1 IPS |
|
|
Machine Translation (Q)
|
68% |
1690
32.7 IPS |
