Alienware Alienware Aurora R16
Geekbench AI Score
5898
Single Precision Score
1894
Half Precision Score
7810
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Goku_is_Gei |
| Upload Date | March 17 2025 05:10 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-14700KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Education (64-bit) |
| Model | Alienware Alienware Aurora R16 |
| Motherboard | Alienware 0RF96M |
| Power Plan | Free i9 performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700KF |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4578
851.5 IPS |
|
|
Image Classification (HP)
|
100% |
688
128.0 IPS |
|
|
Image Classification (Q)
|
99% |
7808
1.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2503
40.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1172
19.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3982
64.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10565
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
5072
5.92 IPS |
|
|
Pose Estimation (Q)
|
94% |
34437
40.4 IPS |
|
|
Object Detection (SP)
|
100% |
4453
353.2 IPS |
|
|
Object Detection (HP)
|
100% |
938
74.4 IPS |
|
|
Object Detection (Q)
|
86% |
7211
579.5 IPS |
|
|
Face Detection (SP)
|
100% |
12517
148.7 IPS |
|
|
Face Detection (HP)
|
100% |
2069
24.6 IPS |
|
|
Face Detection (Q)
|
97% |
12197
145.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
13209
101.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2453
18.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
20195
161.1 IPS |
|
|
Style Transfer (SP)
|
100% |
24715
31.8 IPS |
|
|
Style Transfer (HP)
|
100% |
13176
16.9 IPS |
|
|
Style Transfer (Q)
|
98% |
29218
37.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4225
156.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2555
94.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5939
219.9 IPS |
|
|
Text Classification (SP)
|
100% |
2093
2.79 KIPS |
|
|
Text Classification (HP)
|
100% |
928
1.24 KIPS |
|
|
Text Classification (Q)
|
97% |
680
911.0 IPS |
|
|
Machine Translation (SP)
|
100% |
2615
45.0 IPS |
|
|
Machine Translation (HP)
|
100% |
978
16.8 IPS |
|
|
Machine Translation (Q)
|
65% |
3763
75.6 IPS |
