Alienware Alienware x16 R2
Geekbench ML Score
3478
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | May 03 2024 03:58 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Alienware Alienware x16 R2 |
| Motherboard | Alienware 032M00 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 185H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| L1 Instruction Cache | 64.0 KB x 11 |
| L1 Data Cache | 48.0 KB x 11 |
| L2 Cache | 2.00 MB x 2 |
| L3 Cache | 24.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1764
330.1 IPS |
|
|
Image Classification (F16)
|
100% |
1695
317.2 IPS |
|
|
Image Classification (I8)
|
99% |
2997
560.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1574
26.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1651
27.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
2777
46.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
6521
7.90 IPS |
|
|
Pose Estimation (F16)
|
100% |
6620
8.02 IPS |
|
|
Pose Estimation (I8)
|
100% |
23025
27.9 IPS |
|
|
Object Detection (F32)
|
100% |
1699
126.8 IPS |
|
|
Object Detection (F16)
|
100% |
1835
137.0 IPS |
|
|
Object Detection (I8)
|
62% |
1622
121.1 IPS |
|
|
Face Detection (F32)
|
100% |
3990
47.4 IPS |
|
|
Face Detection (F16)
|
100% |
3920
46.6 IPS |
|
|
Face Detection (I8)
|
89% |
3996
47.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
7441
57.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
7232
56.1 IPS |
|
|
Depth Estimation (I8)
|
96% |
13434
104.2 IPS |
|
|
Style Transfer (F32)
|
100% |
16264
21.4 IPS |
|
|
Style Transfer (F16)
|
100% |
16411
21.6 IPS |
|
|
Style Transfer (I8)
|
98% |
20322
26.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2944
105.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2928
104.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4378
156.4 IPS |
|
|
Text Classification (F32)
|
100% |
1206
1.73 KIPS |
|
|
Text Classification (F16)
|
100% |
1217
1.75 KIPS |
|
|
Text Classification (I8)
|
98% |
469
673.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1772
32.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1753
32.3 IPS |
|
|
Machine Translation (I8)
|
67% |
2704
49.8 IPS |
