Alienware Alienware m16 R2
Geekbench AI Score
3499
Single Precision Score
1435
Half Precision Score
6137
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 21 2024 04:35 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 9 185H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Famille (64-bit) |
| Model | Alienware Alienware m16 R2 |
| Motherboard | Alienware 0NNNJG |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 185H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2569
477.7 IPS |
|
|
Image Classification (HP)
|
100% |
492
91.5 IPS |
|
|
Image Classification (Q)
|
99% |
5225
974.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1441
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1035
16.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3045
49.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5961
6.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
4125
4.81 IPS |
|
|
Pose Estimation (Q)
|
94% |
20974
24.6 IPS |
|
|
Object Detection (SP)
|
100% |
2583
204.9 IPS |
|
|
Object Detection (HP)
|
100% |
623
49.4 IPS |
|
|
Object Detection (Q)
|
86% |
5736
461.0 IPS |
|
|
Face Detection (SP)
|
100% |
7088
84.2 IPS |
|
|
Face Detection (HP)
|
100% |
1521
18.1 IPS |
|
|
Face Detection (Q)
|
97% |
8560
102.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7793
60.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2006
15.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
13788
110.0 IPS |
|
|
Style Transfer (SP)
|
100% |
14437
18.6 IPS |
|
|
Style Transfer (HP)
|
100% |
10254
13.2 IPS |
|
|
Style Transfer (Q)
|
98% |
20359
26.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2532
93.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1873
69.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3800
140.7 IPS |
|
|
Text Classification (SP)
|
100% |
1408
1.88 KIPS |
|
|
Text Classification (HP)
|
100% |
684
912.5 IPS |
|
|
Text Classification (Q)
|
97% |
1586
2.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
1700
29.3 IPS |
|
|
Machine Translation (HP)
|
100% |
708
12.2 IPS |
|
|
Machine Translation (Q)
|
65% |
2738
55.0 IPS |
