Alienware Alienware Aurora R16
Geekbench AI Score
17453
Single Precision Score
29637
Half Precision Score
13798
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | aa141 |
| Upload Date | December 19 2025 09:46 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 |
| 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 i7-14700F |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7090
1.32 KIPS |
|
|
Image Classification (HP)
|
99% |
12341
2.30 KIPS |
|
|
Image Classification (Q)
|
99% |
6314
1.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12355
200.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
17203
278.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
11194
182.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
83423
97.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
239601
279.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
75082
88.0 IPS |
|
|
Object Detection (SP)
|
100% |
8625
684.2 IPS |
|
|
Object Detection (HP)
|
100% |
15680
1.24 KIPS |
|
|
Object Detection (Q)
|
84% |
7684
619.8 IPS |
|
|
Face Detection (SP)
|
100% |
21127
251.0 IPS |
|
|
Face Detection (HP)
|
100% |
33672
400.1 IPS |
|
|
Face Detection (Q)
|
97% |
18557
221.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
41638
320.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
81250
626.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
34678
277.4 IPS |
|
|
Style Transfer (SP)
|
100% |
135453
174.1 IPS |
|
|
Style Transfer (HP)
|
100% |
339716
436.7 IPS |
|
|
Style Transfer (Q)
|
98% |
125549
161.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28395
1.05 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
46523
1.72 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20891
773.5 IPS |
|
|
Text Classification (SP)
|
100% |
3161
4.22 KIPS |
|
|
Text Classification (HP)
|
100% |
3692
4.93 KIPS |
|
|
Text Classification (Q)
|
97% |
1928
2.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
3891
67.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4107
70.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1886
35.4 IPS |
