Alienware Alienware Aurora R16
Geekbench AI Score
5525
Single Precision Score
5445
Half Precision Score
13862
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 12 2025 06:59 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i9-13900F |
| 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 i9-13900F |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3378
628.2 IPS |
|
|
Image Classification (HP)
|
100% |
3362
625.2 IPS |
|
|
Image Classification (Q)
|
100% |
9570
1.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4641
75.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4535
73.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
10881
176.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8453
9.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
8347
9.74 IPS |
|
|
Pose Estimation (Q)
|
96% |
29443
34.5 IPS |
|
|
Object Detection (SP)
|
100% |
3028
240.2 IPS |
|
|
Object Detection (HP)
|
100% |
3011
238.8 IPS |
|
|
Object Detection (Q)
|
88% |
10103
809.9 IPS |
|
|
Face Detection (SP)
|
100% |
9966
118.4 IPS |
|
|
Face Detection (HP)
|
100% |
10067
119.6 IPS |
|
|
Face Detection (Q)
|
100% |
22623
268.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8615
66.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
8871
68.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
27316
212.5 IPS |
|
|
Style Transfer (SP)
|
100% |
23380
30.1 IPS |
|
|
Style Transfer (HP)
|
100% |
22945
29.5 IPS |
|
|
Style Transfer (Q)
|
98% |
87759
113.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4373
161.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4286
158.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16417
608.0 IPS |
|
|
Text Classification (SP)
|
100% |
2805
3.74 KIPS |
|
|
Text Classification (HP)
|
100% |
2853
3.81 KIPS |
|
|
Text Classification (Q)
|
92% |
4996
6.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
2687
46.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2388
41.1 IPS |
|
|
Machine Translation (Q)
|
100% |
1902
32.8 IPS |
