Alienware Alienware m16 R2
Geekbench AI Score
3569
Single Precision Score
1401
Half Precision Score
6413
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 05 2025 07:17 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 0MNHT9 |
| Power Plan | Balanced |
| 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% |
2777
516.5 IPS |
|
|
Image Classification (HP)
|
100% |
516
95.9 IPS |
|
|
Image Classification (Q)
|
99% |
5844
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1406
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
929
15.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3316
53.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5901
6.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
3738
4.36 IPS |
|
|
Pose Estimation (Q)
|
94% |
21310
25.0 IPS |
|
|
Object Detection (SP)
|
100% |
2691
213.5 IPS |
|
|
Object Detection (HP)
|
100% |
616
48.9 IPS |
|
|
Object Detection (Q)
|
86% |
5967
479.6 IPS |
|
|
Face Detection (SP)
|
100% |
7479
88.9 IPS |
|
|
Face Detection (HP)
|
100% |
1501
17.8 IPS |
|
|
Face Detection (Q)
|
97% |
8368
99.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7432
57.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1918
14.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
13846
110.5 IPS |
|
|
Style Transfer (SP)
|
100% |
14129
18.2 IPS |
|
|
Style Transfer (HP)
|
100% |
9597
12.3 IPS |
|
|
Style Transfer (Q)
|
98% |
20229
26.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2480
91.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1841
68.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4002
148.2 IPS |
|
|
Text Classification (SP)
|
100% |
1424
1.90 KIPS |
|
|
Text Classification (HP)
|
100% |
693
924.6 IPS |
|
|
Text Classification (Q)
|
97% |
1664
2.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
1953
33.6 IPS |
|
|
Machine Translation (HP)
|
100% |
750
12.9 IPS |
|
|
Machine Translation (Q)
|
65% |
3060
61.5 IPS |
