Alienware Alienware m16 R2
Geekbench AI Score
20021
Single Precision Score
31840
Half Precision Score
15800
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | jjms |
| Upload Date | March 26 2026 08:22 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Laptop GPU |
| 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% |
7893
1.47 KIPS |
|
|
Image Classification (HP)
|
99% |
12190
2.27 KIPS |
|
|
Image Classification (Q)
|
100% |
7205
1.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14707
238.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
19098
309.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
13194
214.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
118830
138.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
321003
374.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
104319
122.2 IPS |
|
|
Object Detection (SP)
|
100% |
9613
762.5 IPS |
|
|
Object Detection (HP)
|
100% |
15279
1.21 KIPS |
|
|
Object Detection (Q)
|
85% |
8518
685.7 IPS |
|
|
Face Detection (SP)
|
100% |
24784
294.5 IPS |
|
|
Face Detection (HP)
|
100% |
38195
453.8 IPS |
|
|
Face Detection (Q)
|
97% |
21946
261.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
50341
387.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
89822
692.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
40432
323.1 IPS |
|
|
Style Transfer (SP)
|
100% |
187582
241.1 IPS |
|
|
Style Transfer (HP)
|
100% |
435064
559.3 IPS |
|
|
Style Transfer (Q)
|
98% |
167988
216.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34404
1.27 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
47298
1.75 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24838
919.7 IPS |
|
|
Text Classification (SP)
|
100% |
2862
3.82 KIPS |
|
|
Text Classification (HP)
|
99% |
3527
4.71 KIPS |
|
|
Text Classification (Q)
|
97% |
1693
2.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
3387
58.3 IPS |
|
|
Machine Translation (HP)
|
98% |
3767
65.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1832
34.4 IPS |
