Alienware Alienware m16 R2
Geekbench AI Score
3141
Single Precision Score
1390
Half Precision Score
4735
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Caliqo |
| Upload Date | November 22 2024 10:16 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 9 185H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Alienware Alienware m16 R2 |
| Motherboard | Alienware 0NNNJG |
| Power Plan | Ausbalanciert |
| 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% |
1831
340.4 IPS |
|
|
Image Classification (HP)
|
100% |
472
87.7 IPS |
|
|
Image Classification (Q)
|
99% |
3456
644.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1527
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
947
15.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3516
57.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6281
7.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
4111
4.80 IPS |
|
|
Pose Estimation (Q)
|
95% |
23793
27.9 IPS |
|
|
Object Detection (SP)
|
100% |
2022
160.4 IPS |
|
|
Object Detection (HP)
|
100% |
583
46.3 IPS |
|
|
Object Detection (Q)
|
88% |
1866
149.6 IPS |
|
|
Face Detection (SP)
|
100% |
3633
43.2 IPS |
|
|
Face Detection (HP)
|
100% |
1583
18.8 IPS |
|
|
Face Detection (Q)
|
97% |
4039
48.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6672
51.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2017
15.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
7834
62.7 IPS |
|
|
Style Transfer (SP)
|
100% |
14601
18.8 IPS |
|
|
Style Transfer (HP)
|
100% |
10295
13.2 IPS |
|
|
Style Transfer (Q)
|
98% |
20106
25.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2613
96.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1874
69.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4175
154.6 IPS |
|
|
Text Classification (SP)
|
100% |
1517
2.02 KIPS |
|
|
Text Classification (HP)
|
100% |
639
853.2 IPS |
|
|
Text Classification (Q)
|
97% |
1655
2.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
1880
32.4 IPS |
|
|
Machine Translation (HP)
|
100% |
640
11.0 IPS |
|
|
Machine Translation (Q)
|
60% |
2393
53.4 IPS |
