Alienware Alienware m16 R2
Geekbench AI Score
19467
Single Precision Score
31209
Half Precision Score
15357
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | merpuya |
| Upload Date | May 22 2025 08:35 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Alienware Alienware m16 R2 |
| Motherboard | Alienware 0TP02R |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7694
1.43 KIPS |
|
|
Image Classification (HP)
|
99% |
11608
2.17 KIPS |
|
|
Image Classification (Q)
|
100% |
6984
1.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14562
236.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
19292
312.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
13205
214.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
104476
121.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
306064
357.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
97802
114.6 IPS |
|
|
Object Detection (SP)
|
100% |
9595
761.1 IPS |
|
|
Object Detection (HP)
|
100% |
15323
1.22 KIPS |
|
|
Object Detection (Q)
|
85% |
8295
667.8 IPS |
|
|
Face Detection (SP)
|
100% |
24178
287.3 IPS |
|
|
Face Detection (HP)
|
100% |
37181
441.8 IPS |
|
|
Face Detection (Q)
|
97% |
21167
252.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
47510
366.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
80192
617.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
37983
303.6 IPS |
|
|
Style Transfer (SP)
|
100% |
166801
214.4 IPS |
|
|
Style Transfer (HP)
|
100% |
418122
537.5 IPS |
|
|
Style Transfer (Q)
|
98% |
158606
204.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
32698
1.21 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
47179
1.74 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24210
896.5 IPS |
|
|
Text Classification (SP)
|
100% |
2773
3.70 KIPS |
|
|
Text Classification (HP)
|
99% |
3347
4.47 KIPS |
|
|
Text Classification (Q)
|
97% |
1661
2.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
4006
69.0 IPS |
|
|
Machine Translation (HP)
|
98% |
4241
73.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1902
35.7 IPS |
