Alienware Alienware m15 R3
Geekbench AI Score
2516
Single Precision Score
1142
Half Precision Score
3373
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 08 2025 06:01 AM |
| Views | 2 |
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% |
2057
382.5 IPS |
|
|
Image Classification (HP)
|
100% |
436
81.0 IPS |
|
|
Image Classification (Q)
|
96% |
3576
667.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1130
18.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
654
10.6 IPS |
|
|
Image Segmentation (Q)
|
97% |
3052
49.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3746
4.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
3167
3.70 IPS |
|
|
Pose Estimation (Q)
|
86% |
8043
9.51 IPS |
|
|
Object Detection (SP)
|
100% |
1842
146.1 IPS |
|
|
Object Detection (HP)
|
100% |
524
41.6 IPS |
|
|
Object Detection (Q)
|
58% |
1918
209.5 IPS |
|
|
Face Detection (SP)
|
100% |
2920
34.7 IPS |
|
|
Face Detection (HP)
|
100% |
1047
12.4 IPS |
|
|
Face Detection (Q)
|
96% |
5548
66.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5128
39.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1619
12.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
7931
63.3 IPS |
|
|
Style Transfer (SP)
|
100% |
9843
12.7 IPS |
|
|
Style Transfer (HP)
|
100% |
7405
9.52 IPS |
|
|
Style Transfer (Q)
|
87% |
11336
14.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1674
61.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1447
53.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3225
119.5 IPS |
|
|
Text Classification (SP)
|
100% |
1613
2.15 KIPS |
|
|
Text Classification (HP)
|
100% |
722
963.4 IPS |
|
|
Text Classification (Q)
|
97% |
408
546.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1594
27.5 IPS |
|
|
Machine Translation (HP)
|
100% |
612
10.5 IPS |
|
|
Machine Translation (Q)
|
68% |
1729
33.4 IPS |
