Alienware Alienware m15 R3
Geekbench ML Score
8320
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | April 26 2024 05:01 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Alienware Alienware m15 R3 |
| Motherboard | Alienware Alienware m15 R3 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-10875H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 2 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 256 KB x 8 |
| L3 Cache | 16.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2070 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4131
772.9 IPS |
|
|
Image Classification (F16)
|
100% |
4207
787.3 IPS |
|
|
Image Classification (I8)
|
100% |
3306
618.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
4965
82.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
4734
79.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
4044
67.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
46026
55.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
61161
74.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
52225
63.2 IPS |
|
|
Object Detection (F32)
|
100% |
3301
246.4 IPS |
|
|
Object Detection (F16)
|
100% |
2850
212.8 IPS |
|
|
Object Detection (I8)
|
61% |
2835
211.7 IPS |
|
|
Face Detection (F32)
|
100% |
11877
141.2 IPS |
|
|
Face Detection (F16)
|
100% |
11812
140.5 IPS |
|
|
Face Detection (I8)
|
89% |
9351
111.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
28633
222.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
20529
159.2 IPS |
|
|
Depth Estimation (I8)
|
95% |
20792
161.2 IPS |
|
|
Style Transfer (F32)
|
100% |
89095
117.2 IPS |
|
|
Style Transfer (F16)
|
100% |
64417
84.7 IPS |
|
|
Style Transfer (I8)
|
98% |
69950
92.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
18517
661.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
15137
540.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
9772
349.0 IPS |
|
|
Text Classification (F32)
|
100% |
1322
1.90 KIPS |
|
|
Text Classification (F16)
|
100% |
1401
2.01 KIPS |
|
|
Text Classification (I8)
|
98% |
1039
1.49 KIPS |
|
|
Machine Translation (F32)
|
100% |
2149
39.6 IPS |
|
|
Machine Translation (F16)
|
100% |
2111
38.8 IPS |
|
|
Machine Translation (I8)
|
70% |
1221
22.5 IPS |
