Alienware Alienware Aurora R16
Geekbench AI Score
36152
Single Precision Score
48620
Half Precision Score
26970
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | October 06 2024 11:49 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Alienware Alienware Aurora R16 |
| Motherboard | Alienware 0RF96M |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900F |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13729
2.55 KIPS |
|
|
Image Classification (HP)
|
99% |
17817
3.32 KIPS |
|
|
Image Classification (Q)
|
100% |
11480
2.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20128
326.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
23809
386.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
18539
301.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
315744
368.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
523151
610.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
270140
316.3 IPS |
|
|
Object Detection (SP)
|
100% |
17866
1.42 KIPS |
|
|
Object Detection (HP)
|
100% |
22527
1.79 KIPS |
|
|
Object Detection (Q)
|
89% |
14438
1.16 KIPS |
|
|
Face Detection (SP)
|
100% |
44541
529.2 IPS |
|
|
Face Detection (HP)
|
100% |
53888
640.3 IPS |
|
|
Face Detection (Q)
|
97% |
37600
448.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
90105
694.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
152956
1.18 KIPS |
|
|
Depth Estimation (Q)
|
76% |
65281
525.1 IPS |
|
|
Style Transfer (SP)
|
100% |
565247
726.6 IPS |
|
|
Style Transfer (HP)
|
100% |
1051812
1.35 KIPS |
|
|
Style Transfer (Q)
|
98% |
489243
630.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
61045
2.25 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
79318
2.93 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44387
1.64 KIPS |
|
|
Text Classification (SP)
|
100% |
3749
5.00 KIPS |
|
|
Text Classification (HP)
|
99% |
4626
6.18 KIPS |
|
|
Text Classification (Q)
|
97% |
2239
3.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
4713
81.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4642
80.0 IPS |
|
|
Machine Translation (Q)
|
60% |
2056
45.9 IPS |
