Alienware Alienware m16 R2
Geekbench AI Score
2920
Single Precision Score
3043
Half Precision Score
7561
Quantized Score
Geekbench AI 1.0.0 Corporate for Windows AVX2
Result Information
| Upload Date | August 11 2024 08:46 PM |
| Views | 13 |
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 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% |
1585
294.8 IPS |
|
|
Image Classification (HP)
|
100% |
1623
301.9 IPS |
|
|
Image Classification (Q)
|
100% |
4345
808.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2311
37.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2326
37.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4202
68.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3866
4.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
5247
6.12 IPS |
|
|
Pose Estimation (Q)
|
96% |
16351
19.2 IPS |
|
|
Object Detection (SP)
|
100% |
1742
138.1 IPS |
|
|
Object Detection (HP)
|
100% |
1742
138.2 IPS |
|
|
Object Detection (Q)
|
88% |
4156
333.2 IPS |
|
|
Face Detection (SP)
|
100% |
5361
63.7 IPS |
|
|
Face Detection (HP)
|
100% |
5333
63.4 IPS |
|
|
Face Detection (Q)
|
100% |
10246
121.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5585
43.0 IPS |
|
|
Depth Estimation (HP)
|
100% |
5673
43.7 IPS |
|
|
Depth Estimation (Q)
|
80% |
12090
95.8 IPS |
|
|
Style Transfer (SP)
|
100% |
12602
16.2 IPS |
|
|
Style Transfer (HP)
|
100% |
15830
20.3 IPS |
|
|
Style Transfer (Q)
|
98% |
46510
60.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2569
94.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2594
95.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8368
309.9 IPS |
|
|
Text Classification (SP)
|
100% |
859
1.15 KIPS |
|
|
Text Classification (HP)
|
100% |
680
907.0 IPS |
|
|
Text Classification (Q)
|
92% |
2834
3.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
2199
37.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2336
40.2 IPS |
|
|
Machine Translation (Q)
|
85% |
3604
63.1 IPS |
