Alienware Alienware Aurora R16
Geekbench AI Score
4186
Single Precision Score
1268
Half Precision Score
5480
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 01 2025 01:47 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-14900F |
| 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% |
3843
714.7 IPS |
|
|
Image Classification (HP)
|
100% |
530
98.6 IPS |
|
|
Image Classification (Q)
|
99% |
5494
1.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2027
32.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
808
13.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3178
51.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7413
8.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
3736
4.36 IPS |
|
|
Pose Estimation (Q)
|
94% |
25458
29.8 IPS |
|
|
Object Detection (SP)
|
100% |
3624
287.5 IPS |
|
|
Object Detection (HP)
|
100% |
574
45.5 IPS |
|
|
Object Detection (Q)
|
86% |
5550
446.1 IPS |
|
|
Face Detection (SP)
|
100% |
8322
98.9 IPS |
|
|
Face Detection (HP)
|
100% |
1403
16.7 IPS |
|
|
Face Detection (Q)
|
97% |
8942
106.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9349
72.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1732
13.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
16964
135.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18800
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
9424
12.1 IPS |
|
|
Style Transfer (Q)
|
98% |
24420
31.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3034
112.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1673
61.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3342
123.7 IPS |
|
|
Text Classification (SP)
|
100% |
1103
1.47 KIPS |
|
|
Text Classification (HP)
|
100% |
492
656.1 IPS |
|
|
Text Classification (Q)
|
97% |
381
509.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1614
27.8 IPS |
|
|
Machine Translation (HP)
|
100% |
623
10.7 IPS |
|
|
Machine Translation (Q)
|
65% |
2102
42.2 IPS |
