Alienware Alienware m16 R2
Geekbench AI Score
3211
Single Precision Score
3286
Half Precision Score
7941
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Caliqo |
| Upload Date | November 22 2024 11:10 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) 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% |
1767
328.5 IPS |
|
|
Image Classification (HP)
|
100% |
1785
331.9 IPS |
|
|
Image Classification (Q)
|
100% |
4921
915.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2412
39.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2419
39.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4960
80.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5310
6.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
5912
6.90 IPS |
|
|
Pose Estimation (Q)
|
96% |
18285
21.4 IPS |
|
|
Object Detection (SP)
|
100% |
1915
151.9 IPS |
|
|
Object Detection (HP)
|
100% |
1778
141.0 IPS |
|
|
Object Detection (Q)
|
88% |
4993
400.3 IPS |
|
|
Face Detection (SP)
|
100% |
5328
63.3 IPS |
|
|
Face Detection (HP)
|
100% |
5781
68.7 IPS |
|
|
Face Detection (Q)
|
100% |
11151
132.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6248
48.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
6100
47.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
11297
87.8 IPS |
|
|
Style Transfer (SP)
|
100% |
14815
19.0 IPS |
|
|
Style Transfer (HP)
|
100% |
14627
18.8 IPS |
|
|
Style Transfer (Q)
|
98% |
54962
70.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2755
101.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2857
105.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9060
335.5 IPS |
|
|
Text Classification (SP)
|
100% |
867
1.16 KIPS |
|
|
Text Classification (HP)
|
100% |
899
1.20 KIPS |
|
|
Text Classification (Q)
|
92% |
3156
4.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
2288
39.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2447
42.2 IPS |
|
|
Machine Translation (Q)
|
100% |
2262
39.0 IPS |
