Alienware Alienware m16 R2
Geekbench AI Score
2002
Single Precision Score
1968
Half Precision Score
4440
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | jjms |
| Upload Date | March 28 2026 04:42 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 185H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | Alienware Alienware m16 R2 |
| Motherboard | Alienware 02PTX7 |
| Power Plan | Equilibrado |
| 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% |
1715
318.9 IPS |
|
|
Image Classification (HP)
|
100% |
1639
304.8 IPS |
|
|
Image Classification (Q)
|
100% |
5086
945.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2480
40.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2456
39.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4960
80.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4182
4.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
4130
4.82 IPS |
|
|
Pose Estimation (Q)
|
96% |
11148
13.1 IPS |
|
|
Object Detection (SP)
|
100% |
788
62.5 IPS |
|
|
Object Detection (HP)
|
100% |
768
60.9 IPS |
|
|
Object Detection (Q)
|
88% |
1720
137.9 IPS |
|
|
Face Detection (SP)
|
100% |
3669
43.6 IPS |
|
|
Face Detection (HP)
|
100% |
3375
40.1 IPS |
|
|
Face Detection (Q)
|
100% |
7312
86.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3472
26.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3657
28.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
7558
58.8 IPS |
|
|
Style Transfer (SP)
|
100% |
6801
8.74 IPS |
|
|
Style Transfer (HP)
|
100% |
6565
8.44 IPS |
|
|
Style Transfer (Q)
|
98% |
24305
31.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
887
32.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1489
55.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2410
89.3 IPS |
|
|
Text Classification (SP)
|
100% |
712
949.8 IPS |
|
|
Text Classification (HP)
|
100% |
665
888.0 IPS |
|
|
Text Classification (Q)
|
92% |
1687
2.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
1355
23.3 IPS |
|
|
Machine Translation (HP)
|
100% |
851
14.7 IPS |
|
|
Machine Translation (Q)
|
100% |
1129
19.5 IPS |
