Alienware Alienware Aurora R16
Geekbench AI Score
5137
Single Precision Score
5186
Half Precision Score
14654
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | loismustdie1 |
| Upload Date | August 21 2024 03:57 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i9-14900KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | Alienware Alienware Aurora R16 |
| Motherboard | Alienware 0RF96M |
| Power Plan | Ultimate Performance |
| 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% |
3407
633.6 IPS |
|
|
Image Classification (HP)
|
100% |
3426
637.2 IPS |
|
|
Image Classification (Q)
|
100% |
9342
1.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4279
69.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4181
67.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
9144
148.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7996
9.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
7997
9.33 IPS |
|
|
Pose Estimation (Q)
|
96% |
33068
38.7 IPS |
|
|
Object Detection (SP)
|
100% |
2970
235.6 IPS |
|
|
Object Detection (HP)
|
100% |
2962
234.9 IPS |
|
|
Object Detection (Q)
|
88% |
9228
739.7 IPS |
|
|
Face Detection (SP)
|
100% |
10050
119.4 IPS |
|
|
Face Detection (HP)
|
100% |
10137
120.5 IPS |
|
|
Face Detection (Q)
|
100% |
15266
181.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8816
67.9 IPS |
|
|
Depth Estimation (HP)
|
100% |
8631
66.5 IPS |
|
|
Depth Estimation (Q)
|
80% |
27755
219.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22248
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
22850
29.4 IPS |
|
|
Style Transfer (Q)
|
98% |
91570
118.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4351
160.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4237
156.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16114
596.8 IPS |
|
|
Text Classification (SP)
|
100% |
1507
2.01 KIPS |
|
|
Text Classification (HP)
|
100% |
1686
2.25 KIPS |
|
|
Text Classification (Q)
|
92% |
4599
6.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
2863
49.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2904
50.0 IPS |
|
|
Machine Translation (Q)
|
85% |
6094
106.6 IPS |
