Alienware Alienware Aurora R16
Geekbench AI Score
4569
Single Precision Score
855
Half Precision Score
6228
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | ronkokish |
| Upload Date | June 14 2025 02:14 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-14900KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Alienware Alienware Aurora R16 |
| Motherboard | Alienware 0RF96M |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900KF |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2439
453.5 IPS |
|
|
Image Classification (HP)
|
100% |
154
28.6 IPS |
|
|
Image Classification (Q)
|
99% |
4532
845.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2161
35.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
284
4.61 IPS |
|
|
Image Segmentation (Q)
|
98% |
3852
62.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11460
13.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
4870
5.68 IPS |
|
|
Pose Estimation (Q)
|
95% |
36169
42.4 IPS |
|
|
Object Detection (SP)
|
100% |
2946
233.7 IPS |
|
|
Object Detection (HP)
|
100% |
229
18.2 IPS |
|
|
Object Detection (Q)
|
88% |
2530
202.8 IPS |
|
|
Face Detection (SP)
|
100% |
5123
60.9 IPS |
|
|
Face Detection (HP)
|
100% |
334
3.97 IPS |
|
|
Face Detection (Q)
|
97% |
5307
63.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
10882
83.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
996
7.68 IPS |
|
|
Depth Estimation (Q)
|
76% |
12243
98.6 IPS |
|
|
Style Transfer (SP)
|
100% |
25662
33.0 IPS |
|
|
Style Transfer (HP)
|
100% |
12114
15.6 IPS |
|
|
Style Transfer (Q)
|
98% |
29189
37.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3966
146.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2219
81.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5628
208.4 IPS |
|
|
Text Classification (SP)
|
100% |
1802
2.41 KIPS |
|
|
Text Classification (HP)
|
100% |
672
896.4 IPS |
|
|
Text Classification (Q)
|
97% |
1655
2.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
2180
37.6 IPS |
|
|
Machine Translation (HP)
|
100% |
715
12.3 IPS |
|
|
Machine Translation (Q)
|
60% |
3113
69.4 IPS |
