Alienware Alienware 17 R4
Geekbench AI Score
788
Single Precision Score
413
Half Precision Score
984
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | black_michael |
| Upload Date | December 08 2024 07:07 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-6820HK |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | Alienware Alienware 17 R4 |
| Motherboard | Alienware Alienware 17 R4 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-6820HK |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 94 Stepping 3 |
| Base Frequency | 2.70 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
523
97.2 IPS |
|
|
Image Classification (HP)
|
100% |
175
32.5 IPS |
|
|
Image Classification (Q)
|
96% |
866
161.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
351
5.69 IPS |
|
|
Image Segmentation (HP)
|
100% |
251
4.07 IPS |
|
|
Image Segmentation (Q)
|
97% |
469
7.62 IPS |
|
|
Pose Estimation (SP)
|
100% |
1202
1.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
950
1.11 IPS |
|
|
Pose Estimation (Q)
|
86% |
2115
2.50 IPS |
|
|
Object Detection (SP)
|
100% |
517
41.0 IPS |
|
|
Object Detection (HP)
|
100% |
208
16.5 IPS |
|
|
Object Detection (Q)
|
58% |
595
65.0 IPS |
|
|
Face Detection (SP)
|
100% |
1326
15.8 IPS |
|
|
Face Detection (HP)
|
100% |
471
5.59 IPS |
|
|
Face Detection (Q)
|
96% |
1774
21.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1429
11.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
620
4.78 IPS |
|
|
Depth Estimation (Q)
|
78% |
2157
17.2 IPS |
|
|
Style Transfer (SP)
|
100% |
2997
3.85 IPS |
|
|
Style Transfer (HP)
|
100% |
2206
2.84 IPS |
|
|
Style Transfer (Q)
|
87% |
4259
5.54 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
565
20.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
453
16.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
810
30.0 IPS |
|
|
Text Classification (SP)
|
100% |
408
545.1 IPS |
|
|
Text Classification (HP)
|
100% |
229
306.0 IPS |
|
|
Text Classification (Q)
|
97% |
176
236.3 IPS |
|
|
Machine Translation (SP)
|
100% |
621
10.7 IPS |
|
|
Machine Translation (HP)
|
100% |
252
4.34 IPS |
|
|
Machine Translation (Q)
|
68% |
717
13.8 IPS |
