Alienware Alienware Aurora R16
Geekbench AI Score
31105
Single Precision Score
43627
Half Precision Score
23615
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | loismustdie1 |
| Upload Date | October 05 2024 03:20 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Business (64-bit) |
| Model | Alienware Alienware Aurora R16 |
| Motherboard | Alienware 0RF96M |
| Power Plan | Balanced |
| 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% |
11951
2.22 KIPS |
|
|
Image Classification (HP)
|
99% |
16373
3.05 KIPS |
|
|
Image Classification (Q)
|
100% |
10049
1.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18591
301.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
22774
369.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
17055
277.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
254540
297.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
452731
528.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
223012
261.1 IPS |
|
|
Object Detection (SP)
|
100% |
15251
1.21 KIPS |
|
|
Object Detection (HP)
|
100% |
20705
1.64 KIPS |
|
|
Object Detection (Q)
|
89% |
12452
996.9 IPS |
|
|
Face Detection (SP)
|
100% |
39609
470.6 IPS |
|
|
Face Detection (HP)
|
100% |
48172
572.4 IPS |
|
|
Face Detection (Q)
|
97% |
32935
392.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
74924
577.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
132848
1.03 KIPS |
|
|
Depth Estimation (Q)
|
76% |
56494
455.1 IPS |
|
|
Style Transfer (SP)
|
100% |
386522
496.9 IPS |
|
|
Style Transfer (HP)
|
100% |
837522
1.08 KIPS |
|
|
Style Transfer (Q)
|
98% |
341277
440.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
51561
1.90 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
68190
2.52 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
38994
1.44 KIPS |
|
|
Text Classification (SP)
|
100% |
3534
4.72 KIPS |
|
|
Text Classification (HP)
|
99% |
4334
5.79 KIPS |
|
|
Text Classification (Q)
|
97% |
2198
2.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
4704
81.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4512
77.7 IPS |
|
|
Machine Translation (Q)
|
60% |
2083
46.5 IPS |
