Alienware Alienware Aurora R16
Geekbench AI Score
31263
Single Precision Score
44915
Half Precision Score
23789
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | loismustdie1 |
| Upload Date | August 21 2024 06:22 PM |
| Views | 8 |
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% |
12419
2.31 KIPS |
|
|
Image Classification (HP)
|
99% |
17433
3.25 KIPS |
|
|
Image Classification (Q)
|
100% |
10349
1.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18757
304.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
22841
370.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
16934
275.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
245570
286.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
456547
532.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
219429
257.0 IPS |
|
|
Object Detection (SP)
|
100% |
15369
1.22 KIPS |
|
|
Object Detection (HP)
|
100% |
21420
1.70 KIPS |
|
|
Object Detection (Q)
|
89% |
13422
1.07 KIPS |
|
|
Face Detection (SP)
|
100% |
38959
462.9 IPS |
|
|
Face Detection (HP)
|
100% |
48397
575.1 IPS |
|
|
Face Detection (Q)
|
97% |
32948
392.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
74012
570.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
132540
1.02 KIPS |
|
|
Depth Estimation (Q)
|
70% |
54863
459.5 IPS |
|
|
Style Transfer (SP)
|
100% |
375588
482.8 IPS |
|
|
Style Transfer (HP)
|
100% |
837279
1.08 KIPS |
|
|
Style Transfer (Q)
|
98% |
331796
427.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
52512
1.94 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
72042
2.66 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
39482
1.46 KIPS |
|
|
Text Classification (SP)
|
100% |
3871
5.17 KIPS |
|
|
Text Classification (HP)
|
99% |
4866
6.49 KIPS |
|
|
Text Classification (Q)
|
97% |
2308
3.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
4609
79.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4558
78.5 IPS |
|
|
Machine Translation (Q)
|
60% |
2058
45.9 IPS |
