Alienware Alienware Aurora R16
Geekbench ML Score
4616
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 07 2024 12:25 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (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 |
| L1 Instruction Cache | 32.0 KB x 16 |
| L1 Data Cache | 48.0 KB x 16 |
| L2 Cache | 2.00 MB x 4 |
| L3 Cache | 36.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2380
445.4 IPS |
|
|
Image Classification (F16)
|
100% |
2495
466.8 IPS |
|
|
Image Classification (I8)
|
99% |
4322
808.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
2161
36.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
2123
35.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
3220
53.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
10384
12.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
10253
12.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
32403
39.2 IPS |
|
|
Object Detection (F32)
|
100% |
2291
171.0 IPS |
|
|
Object Detection (F16)
|
100% |
2241
167.3 IPS |
|
|
Object Detection (I8)
|
62% |
1998
149.2 IPS |
|
|
Face Detection (F32)
|
100% |
4856
57.7 IPS |
|
|
Face Detection (F16)
|
100% |
4693
55.8 IPS |
|
|
Face Detection (I8)
|
89% |
4685
55.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
10076
78.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
10412
80.7 IPS |
|
|
Depth Estimation (I8)
|
96% |
16531
128.2 IPS |
|
|
Style Transfer (F32)
|
100% |
24548
32.3 IPS |
|
|
Style Transfer (F16)
|
100% |
23593
31.0 IPS |
|
|
Style Transfer (I8)
|
98% |
26362
34.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4212
150.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4414
157.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5662
202.2 IPS |
|
|
Text Classification (F32)
|
100% |
1648
2.37 KIPS |
|
|
Text Classification (F16)
|
100% |
1816
2.61 KIPS |
|
|
Text Classification (I8)
|
98% |
464
667.2 IPS |
|
|
Machine Translation (F32)
|
100% |
2271
41.8 IPS |
|
|
Machine Translation (F16)
|
100% |
2289
42.1 IPS |
|
|
Machine Translation (I8)
|
67% |
2945
54.2 IPS |
