Alienware Alienware Aurora R16
Geekbench AI Score
32162
Single Precision Score
45870
Half Precision Score
24455
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | loismustdie1 |
| Upload Date | August 21 2024 04:00 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | Alienware Alienware Aurora R16 |
| Motherboard | Alienware 0RF96M |
| Power Plan | Ultimate Performance |
| 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% |
12687
2.36 KIPS |
|
|
Image Classification (HP)
|
99% |
17683
3.30 KIPS |
|
|
Image Classification (Q)
|
100% |
10808
2.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18728
303.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
22980
372.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
17437
283.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
255303
297.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
459270
535.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
226511
265.2 IPS |
|
|
Object Detection (SP)
|
100% |
15878
1.26 KIPS |
|
|
Object Detection (HP)
|
100% |
21847
1.73 KIPS |
|
|
Object Detection (Q)
|
89% |
13810
1.11 KIPS |
|
|
Face Detection (SP)
|
100% |
40206
477.7 IPS |
|
|
Face Detection (HP)
|
100% |
49290
585.7 IPS |
|
|
Face Detection (Q)
|
97% |
33692
401.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
76771
591.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
143293
1.10 KIPS |
|
|
Depth Estimation (Q)
|
70% |
56339
471.9 IPS |
|
|
Style Transfer (SP)
|
100% |
392244
504.2 IPS |
|
|
Style Transfer (HP)
|
100% |
870941
1.12 KIPS |
|
|
Style Transfer (Q)
|
98% |
347658
448.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
55290
2.04 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
73290
2.71 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40642
1.50 KIPS |
|
|
Text Classification (SP)
|
100% |
3923
5.24 KIPS |
|
|
Text Classification (HP)
|
99% |
4844
6.47 KIPS |
|
|
Text Classification (Q)
|
97% |
2350
3.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
4683
80.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4632
79.8 IPS |
|
|
Machine Translation (Q)
|
60% |
2059
45.9 IPS |
