Alienware Alienware Aurora R7
Geekbench AI Score
2546
Single Precision Score
1095
Half Precision Score
2756
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | anthonya1 |
| Upload Date | January 07 2025 04:40 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-8700 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Alienware Alienware Aurora R7 |
| Motherboard | Alienware 0VDT73 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8700 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1979
368.0 IPS |
|
|
Image Classification (HP)
|
100% |
382
71.0 IPS |
|
|
Image Classification (Q)
|
96% |
2797
522.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1124
18.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
611
9.91 IPS |
|
|
Image Segmentation (Q)
|
97% |
1531
24.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4324
5.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
3486
4.07 IPS |
|
|
Pose Estimation (Q)
|
86% |
7393
8.74 IPS |
|
|
Object Detection (SP)
|
100% |
1907
151.3 IPS |
|
|
Object Detection (HP)
|
100% |
482
38.2 IPS |
|
|
Object Detection (Q)
|
58% |
1726
188.6 IPS |
|
|
Face Detection (SP)
|
100% |
3241
38.5 IPS |
|
|
Face Detection (HP)
|
100% |
1083
12.9 IPS |
|
|
Face Detection (Q)
|
96% |
4857
57.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5449
42.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1500
11.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
6325
50.5 IPS |
|
|
Style Transfer (SP)
|
100% |
10429
13.4 IPS |
|
|
Style Transfer (HP)
|
100% |
7903
10.2 IPS |
|
|
Style Transfer (Q)
|
87% |
11697
15.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1819
67.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1580
58.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2183
80.9 IPS |
|
|
Text Classification (SP)
|
100% |
1232
1.64 KIPS |
|
|
Text Classification (HP)
|
100% |
564
753.1 IPS |
|
|
Text Classification (Q)
|
97% |
361
483.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1513
26.1 IPS |
|
|
Machine Translation (HP)
|
100% |
554
9.55 IPS |
|
|
Machine Translation (Q)
|
68% |
1635
31.6 IPS |
