Alienware Alienware Aurora R16
Geekbench AI Score
5926
Single Precision Score
5914
Half Precision Score
13823
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | mytec33 |
| Upload Date | September 29 2024 05:20 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-14700KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Alienware Alienware Aurora R16 |
| Motherboard | Alienware 0RF96M |
| Power Plan | Balanced |
| 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% |
4778
888.5 IPS |
|
|
Image Classification (HP)
|
100% |
4533
842.9 IPS |
|
|
Image Classification (Q)
|
100% |
9244
1.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5154
83.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3548
57.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
5850
94.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8811
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
8777
10.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
32366
37.9 IPS |
|
|
Object Detection (SP)
|
100% |
4153
329.5 IPS |
|
|
Object Detection (HP)
|
100% |
4060
322.0 IPS |
|
|
Object Detection (Q)
|
88% |
9790
784.8 IPS |
|
|
Face Detection (SP)
|
100% |
12094
143.7 IPS |
|
|
Face Detection (HP)
|
100% |
12222
145.2 IPS |
|
|
Face Detection (Q)
|
100% |
24360
289.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
11032
85.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
10988
84.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
17072
132.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16568
21.3 IPS |
|
|
Style Transfer (HP)
|
100% |
15438
19.8 IPS |
|
|
Style Transfer (Q)
|
98% |
89619
115.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3432
126.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5499
203.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16689
618.1 IPS |
|
|
Text Classification (SP)
|
100% |
1618
2.16 KIPS |
|
|
Text Classification (HP)
|
100% |
1619
2.16 KIPS |
|
|
Text Classification (Q)
|
92% |
4775
6.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
4832
83.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4948
85.2 IPS |
|
|
Machine Translation (Q)
|
100% |
5008
86.3 IPS |
