Alienware Alienware Aurora R16
Geekbench AI Score
28907
Single Precision Score
42156
Half Precision Score
22347
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 01 2025 01:49 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Ti SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Alienware Alienware Aurora R16 |
| Motherboard | Alienware 0RF96M |
| 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% |
12141
2.26 KIPS |
|
|
Image Classification (HP)
|
99% |
17292
3.23 KIPS |
|
|
Image Classification (Q)
|
100% |
10644
1.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17699
286.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
21827
353.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
15849
257.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
185054
215.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
406680
474.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
166046
194.5 IPS |
|
|
Object Detection (SP)
|
100% |
14173
1.12 KIPS |
|
|
Object Detection (HP)
|
100% |
20682
1.64 KIPS |
|
|
Object Detection (Q)
|
85% |
11988
964.3 IPS |
|
|
Face Detection (SP)
|
100% |
38104
452.8 IPS |
|
|
Face Detection (HP)
|
100% |
49260
585.3 IPS |
|
|
Face Detection (Q)
|
97% |
32117
383.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
70045
539.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
115239
887.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
54094
433.9 IPS |
|
|
Style Transfer (SP)
|
100% |
329285
423.3 IPS |
|
|
Style Transfer (HP)
|
100% |
780036
1.00 KIPS |
|
|
Style Transfer (Q)
|
98% |
293892
379.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
48398
1.79 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
60436
2.23 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34896
1.29 KIPS |
|
|
Text Classification (SP)
|
100% |
3739
4.99 KIPS |
|
|
Text Classification (HP)
|
99% |
4540
6.06 KIPS |
|
|
Text Classification (Q)
|
97% |
2143
2.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
4546
78.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4596
79.2 IPS |
|
|
Machine Translation (Q)
|
70% |
2423
45.5 IPS |
