Alienware Alienware m16 R2
Geekbench AI Score
6479
Single Precision Score
9925
Half Precision Score
14998
Quantized Score
Geekbench AI 1.0.0 Corporate for Windows AVX2
Result Information
| Upload Date | August 11 2024 05:39 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Alienware Alienware m16 R2 |
| Motherboard | Alienware 0P9YG5 |
| 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 | 1.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4461
829.5 IPS |
|
|
Image Classification (HP)
|
100% |
6426
1.20 KIPS |
|
|
Image Classification (Q)
|
100% |
7380
1.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3933
63.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
8964
145.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
12643
205.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
16813
19.6 IPS |
|
|
Pose Estimation (HP)
|
99% |
15555
18.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
50342
58.9 IPS |
|
|
Object Detection (SP)
|
100% |
4045
320.9 IPS |
|
|
Object Detection (HP)
|
100% |
6679
529.8 IPS |
|
|
Object Detection (Q)
|
88% |
9510
762.1 IPS |
|
|
Face Detection (SP)
|
100% |
7871
93.5 IPS |
|
|
Face Detection (HP)
|
100% |
15919
189.2 IPS |
|
|
Face Detection (Q)
|
100% |
25432
302.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
13952
107.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
26310
203.3 IPS |
|
|
Depth Estimation (Q)
|
79% |
33713
267.6 IPS |
|
|
Style Transfer (SP)
|
100% |
40865
52.5 IPS |
|
|
Style Transfer (HP)
|
100% |
52560
67.6 IPS |
|
|
Style Transfer (Q)
|
98% |
122187
157.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6977
257.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11911
439.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17251
638.9 IPS |
|
|
Text Classification (SP)
|
71% |
1680
2.43 KIPS |
|
|
Text Classification (HP)
|
71% |
2135
3.09 KIPS |
|
|
Text Classification (Q)
|
92% |
2215
2.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
2078
35.8 IPS |
|
|
Machine Translation (HP)
|
96% |
2769
47.9 IPS |
|
|
Machine Translation (Q)
|
89% |
3222
56.0 IPS |
