Alienware Alienware Aurora R16
Geekbench AI Score
30464
Single Precision Score
46798
Half Precision Score
23857
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 12 2025 07:00 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Ti |
| 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% |
12097
2.25 KIPS |
|
|
Image Classification (HP)
|
99% |
18197
3.39 KIPS |
|
|
Image Classification (Q)
|
100% |
10824
2.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19942
323.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
27317
442.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
18943
308.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
185652
216.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
472943
551.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
169087
198.1 IPS |
|
|
Object Detection (SP)
|
100% |
14974
1.19 KIPS |
|
|
Object Detection (HP)
|
100% |
22295
1.77 KIPS |
|
|
Object Detection (Q)
|
85% |
12804
1.03 KIPS |
|
|
Face Detection (SP)
|
100% |
42445
504.3 IPS |
|
|
Face Detection (HP)
|
100% |
58331
693.1 IPS |
|
|
Face Detection (Q)
|
97% |
37022
441.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
75061
578.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
129234
998.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
58330
466.3 IPS |
|
|
Style Transfer (SP)
|
100% |
326151
419.3 IPS |
|
|
Style Transfer (HP)
|
100% |
759852
976.8 IPS |
|
|
Style Transfer (Q)
|
98% |
279896
360.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
49889
1.84 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
62610
2.31 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36368
1.35 KIPS |
|
|
Text Classification (SP)
|
100% |
3810
5.09 KIPS |
|
|
Text Classification (HP)
|
99% |
4663
6.22 KIPS |
|
|
Text Classification (Q)
|
97% |
2324
3.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
5199
89.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5749
99.0 IPS |
|
|
Machine Translation (Q)
|
70% |
2634
49.4 IPS |
