Alienware Alienware Aurora R15
Geekbench AI Score
5705
Single Precision Score
1741
Half Precision Score
7968
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | nerdhunters |
| Upload Date | April 19 2026 08:29 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-13900KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Alienware Alienware Aurora R15 |
| Motherboard | Alienware 049PDM |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900KF |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4595
854.6 IPS |
|
|
Image Classification (HP)
|
100% |
608
113.1 IPS |
|
|
Image Classification (Q)
|
99% |
7191
1.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2336
37.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1099
17.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
8744
142.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11345
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
4890
5.71 IPS |
|
|
Pose Estimation (Q)
|
94% |
34115
40.0 IPS |
|
|
Object Detection (SP)
|
100% |
4439
352.1 IPS |
|
|
Object Detection (HP)
|
100% |
828
65.7 IPS |
|
|
Object Detection (Q)
|
86% |
6413
515.4 IPS |
|
|
Face Detection (SP)
|
100% |
12655
150.4 IPS |
|
|
Face Detection (HP)
|
100% |
1728
20.5 IPS |
|
|
Face Detection (Q)
|
97% |
10920
130.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
12915
99.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2395
18.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
18967
151.3 IPS |
|
|
Style Transfer (SP)
|
100% |
25232
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
12142
15.6 IPS |
|
|
Style Transfer (Q)
|
98% |
29599
38.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4134
152.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2352
86.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6472
239.7 IPS |
|
|
Text Classification (SP)
|
100% |
1617
2.16 KIPS |
|
|
Text Classification (HP)
|
100% |
792
1.06 KIPS |
|
|
Text Classification (Q)
|
97% |
568
760.3 IPS |
|
|
Machine Translation (SP)
|
100% |
2451
42.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1011
17.4 IPS |
|
|
Machine Translation (Q)
|
65% |
3331
66.9 IPS |
