Alienware Alienware Aurora R7
Geekbench AI Score
1019
Single Precision Score
1182
Half Precision Score
836
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | anthonya1 |
| Upload Date | January 07 2025 04:53 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 630 |
| 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% |
465
86.5 IPS |
|
|
Image Classification (HP)
|
100% |
541
100.6 IPS |
|
|
Image Classification (Q)
|
100% |
443
82.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
636
10.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
739
12.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
548
8.92 IPS |
|
|
Pose Estimation (SP)
|
100% |
2457
2.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
3897
4.55 IPS |
|
|
Pose Estimation (Q)
|
97% |
2263
2.65 IPS |
|
|
Object Detection (SP)
|
100% |
532
42.2 IPS |
|
|
Object Detection (HP)
|
98% |
532
42.3 IPS |
|
|
Object Detection (Q)
|
86% |
487
39.1 IPS |
|
|
Face Detection (SP)
|
100% |
1027
12.2 IPS |
|
|
Face Detection (HP)
|
100% |
1190
14.1 IPS |
|
|
Face Detection (Q)
|
97% |
920
11.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1856
14.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
2293
17.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
1616
12.9 IPS |
|
|
Style Transfer (SP)
|
100% |
6353
8.17 IPS |
|
|
Style Transfer (HP)
|
100% |
9471
12.2 IPS |
|
|
Style Transfer (Q)
|
98% |
5534
7.14 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1256
46.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1775
65.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
983
36.4 IPS |
|
|
Text Classification (SP)
|
100% |
420
560.5 IPS |
|
|
Text Classification (HP)
|
100% |
286
381.5 IPS |
|
|
Text Classification (Q)
|
97% |
268
359.0 IPS |
|
|
Machine Translation (SP)
|
100% |
492
8.48 IPS |
|
|
Machine Translation (HP)
|
100% |
492
8.48 IPS |
|
|
Machine Translation (Q)
|
70% |
291
5.46 IPS |
