Alienware Alienware m16 R2
Geekbench AI Score
2900
Single Precision Score
3010
Half Precision Score
7364
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | JustJosh |
| Upload Date | October 23 2024 09:36 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 155H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Alienware Alienware m16 R2 |
| Motherboard | Alienware 08NHVY |
| 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% |
1645
306.0 IPS |
|
|
Image Classification (HP)
|
100% |
1682
312.8 IPS |
|
|
Image Classification (Q)
|
100% |
4356
810.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2514
40.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2560
41.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4686
76.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3974
4.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
5590
6.52 IPS |
|
|
Pose Estimation (Q)
|
96% |
18645
21.8 IPS |
|
|
Object Detection (SP)
|
100% |
1611
127.7 IPS |
|
|
Object Detection (HP)
|
100% |
1606
127.4 IPS |
|
|
Object Detection (Q)
|
88% |
4281
343.1 IPS |
|
|
Face Detection (SP)
|
100% |
4997
59.4 IPS |
|
|
Face Detection (HP)
|
100% |
4925
58.5 IPS |
|
|
Face Detection (Q)
|
100% |
10012
119.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4525
34.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4627
35.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
11799
91.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16369
21.0 IPS |
|
|
Style Transfer (HP)
|
100% |
16286
20.9 IPS |
|
|
Style Transfer (Q)
|
98% |
52409
67.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2198
81.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2198
81.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7427
275.0 IPS |
|
|
Text Classification (SP)
|
100% |
885
1.18 KIPS |
|
|
Text Classification (HP)
|
100% |
861
1.15 KIPS |
|
|
Text Classification (Q)
|
92% |
2892
3.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
2209
38.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2249
38.7 IPS |
|
|
Machine Translation (Q)
|
100% |
2167
37.3 IPS |
