Alienware Alienware m16 R2
Geekbench AI Score
6596
Single Precision Score
9838
Half Precision Score
14530
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Caliqo |
| Upload Date | November 22 2024 11:15 PM |
| Views | 4 |
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 0NNNJG |
| Power Plan | Ausbalanciert |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4319
803.3 IPS |
|
|
Image Classification (HP)
|
100% |
6425
1.19 KIPS |
|
|
Image Classification (Q)
|
100% |
7817
1.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4081
66.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9433
152.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
13383
217.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
16927
19.8 IPS |
|
|
Pose Estimation (HP)
|
99% |
15444
18.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
48976
57.3 IPS |
|
|
Object Detection (SP)
|
100% |
4115
326.4 IPS |
|
|
Object Detection (HP)
|
100% |
6606
524.0 IPS |
|
|
Object Detection (Q)
|
88% |
9377
751.5 IPS |
|
|
Face Detection (SP)
|
100% |
8382
99.6 IPS |
|
|
Face Detection (HP)
|
100% |
16621
197.5 IPS |
|
|
Face Detection (Q)
|
100% |
25781
306.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
15558
119.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
25770
199.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
28890
224.6 IPS |
|
|
Style Transfer (SP)
|
100% |
41319
53.1 IPS |
|
|
Style Transfer (HP)
|
100% |
51971
66.8 IPS |
|
|
Style Transfer (Q)
|
98% |
120768
155.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6950
256.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11447
422.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16984
629.0 IPS |
|
|
Text Classification (SP)
|
71% |
1636
2.37 KIPS |
|
|
Text Classification (HP)
|
71% |
2051
2.97 KIPS |
|
|
Text Classification (Q)
|
92% |
2140
2.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
2073
35.7 IPS |
|
|
Machine Translation (HP)
|
96% |
2629
45.5 IPS |
|
|
Machine Translation (Q)
|
100% |
2672
46.0 IPS |
