Alienware Alienware m16 R2
Geekbench AI Score
19883
Single Precision Score
31865
Half Precision Score
15689
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | mattskr |
| Upload Date | July 17 2025 04:11 AM |
| Views | 19 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Alienware Alienware m16 R2 |
| Motherboard | Alienware 01HV0T |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7881
1.47 KIPS |
|
|
Image Classification (HP)
|
99% |
12163
2.27 KIPS |
|
|
Image Classification (Q)
|
100% |
7184
1.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14685
238.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
19329
313.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
13309
216.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
107327
125.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
307928
359.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
97089
113.8 IPS |
|
|
Object Detection (SP)
|
100% |
9588
760.5 IPS |
|
|
Object Detection (HP)
|
100% |
15163
1.20 KIPS |
|
|
Object Detection (Q)
|
85% |
8447
680.0 IPS |
|
|
Face Detection (SP)
|
100% |
24315
288.9 IPS |
|
|
Face Detection (HP)
|
100% |
37934
450.7 IPS |
|
|
Face Detection (Q)
|
97% |
21589
257.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
48619
374.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
84511
651.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
39557
316.1 IPS |
|
|
Style Transfer (SP)
|
100% |
179018
230.1 IPS |
|
|
Style Transfer (HP)
|
100% |
434466
558.5 IPS |
|
|
Style Transfer (Q)
|
98% |
164633
212.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34117
1.26 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
48745
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24653
912.9 IPS |
|
|
Text Classification (SP)
|
100% |
2803
3.74 KIPS |
|
|
Text Classification (HP)
|
99% |
3394
4.53 KIPS |
|
|
Text Classification (Q)
|
97% |
1719
2.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
4007
69.0 IPS |
|
|
Machine Translation (HP)
|
98% |
4268
73.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1935
36.3 IPS |
