Alienware Alienware Aurora R16
Geekbench AI Score
5516
Single Precision Score
1639
Half Precision Score
7527
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 12 2025 07:03 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-13900F |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Alienware Alienware Aurora R16 |
| Motherboard | Alienware 0RF96M |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900F |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4581
852.0 IPS |
|
|
Image Classification (HP)
|
100% |
648
120.6 IPS |
|
|
Image Classification (Q)
|
99% |
7026
1.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2186
35.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1162
18.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
8504
138.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10962
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
4551
5.31 IPS |
|
|
Pose Estimation (Q)
|
94% |
32927
38.6 IPS |
|
|
Object Detection (SP)
|
100% |
4282
339.7 IPS |
|
|
Object Detection (HP)
|
100% |
706
56.0 IPS |
|
|
Object Detection (Q)
|
86% |
6448
518.2 IPS |
|
|
Face Detection (SP)
|
100% |
12906
153.4 IPS |
|
|
Face Detection (HP)
|
100% |
1630
19.4 IPS |
|
|
Face Detection (Q)
|
97% |
10725
127.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
12392
95.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1939
14.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
18092
144.4 IPS |
|
|
Style Transfer (SP)
|
100% |
24005
30.9 IPS |
|
|
Style Transfer (HP)
|
100% |
11111
14.3 IPS |
|
|
Style Transfer (Q)
|
98% |
24704
31.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3824
141.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2111
77.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6062
224.5 IPS |
|
|
Text Classification (SP)
|
100% |
1626
2.17 KIPS |
|
|
Text Classification (HP)
|
100% |
850
1.13 KIPS |
|
|
Text Classification (Q)
|
97% |
514
688.4 IPS |
|
|
Machine Translation (SP)
|
100% |
2326
40.1 IPS |
|
|
Machine Translation (HP)
|
100% |
918
15.8 IPS |
|
|
Machine Translation (Q)
|
65% |
3083
62.0 IPS |
