Alienware Alienware m18 R2
Geekbench ML Score
4423
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 16 2024 05:42 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Alienware Alienware m18 R2 |
| Motherboard | Alienware 0R5W53 |
| Power Plan | Driver Booster Power Plan |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900HX |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| L1 Instruction Cache | 64.0 KB x 16 |
| L1 Data Cache | 32.0 KB x 16 |
| L2 Cache | 4.00 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% |
2423
453.3 IPS |
|
|
Image Classification (F16)
|
100% |
2361
441.9 IPS |
|
|
Image Classification (I8)
|
99% |
3864
723.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
2007
33.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
2015
33.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
3137
52.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
9671
11.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
9600
11.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
29027
35.2 IPS |
|
|
Object Detection (F32)
|
100% |
2399
179.1 IPS |
|
|
Object Detection (F16)
|
100% |
2229
166.4 IPS |
|
|
Object Detection (I8)
|
62% |
1920
143.3 IPS |
|
|
Face Detection (F32)
|
100% |
4695
55.8 IPS |
|
|
Face Detection (F16)
|
100% |
4337
51.6 IPS |
|
|
Face Detection (I8)
|
89% |
4683
55.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
9610
74.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
9555
74.1 IPS |
|
|
Depth Estimation (I8)
|
96% |
15545
120.6 IPS |
|
|
Style Transfer (F32)
|
100% |
21218
27.9 IPS |
|
|
Style Transfer (F16)
|
100% |
22507
29.6 IPS |
|
|
Style Transfer (I8)
|
98% |
25967
34.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4510
161.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4581
163.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5798
207.1 IPS |
|
|
Text Classification (F32)
|
100% |
1561
2.24 KIPS |
|
|
Text Classification (F16)
|
100% |
1691
2.43 KIPS |
|
|
Text Classification (I8)
|
98% |
436
626.8 IPS |
|
|
Machine Translation (F32)
|
100% |
2154
39.6 IPS |
|
|
Machine Translation (F16)
|
100% |
2067
38.0 IPS |
|
|
Machine Translation (I8)
|
67% |
2943
54.2 IPS |
