Alienware Alienware m18 R1 AMD
Geekbench ML Score
19027
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | January 25 2025 02:10 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Alienware Alienware m18 R1 AMD |
| Motherboard | Alienware 0G3GT2 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7845HX |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 12 Cores |
| L1 Instruction Cache | 32.0 KB x 12 |
| L1 Data Cache | 32.0 KB x 12 |
| L2 Cache | 1.00 MB x 12 |
| L3 Cache | 32.0 MB x 2 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
9342
1.75 KIPS |
|
|
Image Classification (F16)
|
100% |
9108
1.70 KIPS |
|
|
Image Classification (I8)
|
100% |
8023
1.50 KIPS |
|
|
Image Segmentation (F32)
|
100% |
14503
242.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
13501
225.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
12449
207.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
137150
166.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
135694
164.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
122088
147.8 IPS |
|
|
Object Detection (F32)
|
100% |
6138
458.3 IPS |
|
|
Object Detection (F16)
|
100% |
6177
461.2 IPS |
|
|
Object Detection (I8)
|
63% |
5486
409.6 IPS |
|
|
Face Detection (F32)
|
100% |
28169
334.9 IPS |
|
|
Face Detection (F16)
|
100% |
28515
339.0 IPS |
|
|
Face Detection (I8)
|
89% |
24285
288.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
56351
437.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
49953
387.4 IPS |
|
|
Depth Estimation (I8)
|
94% |
41046
318.3 IPS |
|
|
Style Transfer (F32)
|
100% |
217406
286.0 IPS |
|
|
Style Transfer (F16)
|
100% |
222145
292.2 IPS |
|
|
Style Transfer (I8)
|
98% |
195506
257.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
35260
1.26 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
36595
1.31 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
25052
894.7 IPS |
|
|
Text Classification (F32)
|
100% |
2698
3.88 KIPS |
|
|
Text Classification (F16)
|
100% |
2703
3.88 KIPS |
|
|
Text Classification (I8)
|
98% |
1602
2.30 KIPS |
|
|
Machine Translation (F32)
|
100% |
4006
73.7 IPS |
|
|
Machine Translation (F16)
|
100% |
3973
73.1 IPS |
|
|
Machine Translation (I8)
|
70% |
2394
44.1 IPS |
