Alienware Alienware m15 R3
Geekbench ML Score
6059
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | April 26 2024 04:58 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% |
2659
497.5 IPS |
|
|
Image Classification (F16)
|
100% |
2690
503.4 IPS |
|
|
Image Classification (I8)
|
100% |
2065
386.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
4274
71.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
4208
70.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
3426
57.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
34329
41.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
27255
33.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
24183
29.3 IPS |
|
|
Object Detection (F32)
|
100% |
2536
189.3 IPS |
|
|
Object Detection (F16)
|
100% |
2607
194.6 IPS |
|
|
Object Detection (I8)
|
61% |
2193
163.7 IPS |
|
|
Face Detection (F32)
|
100% |
6034
71.7 IPS |
|
|
Face Detection (F16)
|
100% |
6122
72.8 IPS |
|
|
Face Detection (I8)
|
89% |
5277
62.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
17284
134.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
18385
142.6 IPS |
|
|
Depth Estimation (I8)
|
95% |
13220
102.5 IPS |
|
|
Style Transfer (F32)
|
100% |
52819
69.5 IPS |
|
|
Style Transfer (F16)
|
100% |
54512
71.7 IPS |
|
|
Style Transfer (I8)
|
98% |
44788
58.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
14365
513.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
14135
504.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
9139
326.4 IPS |
|
|
Text Classification (F32)
|
100% |
1280
1.84 KIPS |
|
|
Text Classification (F16)
|
100% |
1416
2.04 KIPS |
|
|
Text Classification (I8)
|
98% |
839
1.21 KIPS |
|
|
Machine Translation (F32)
|
100% |
1838
33.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1837
33.8 IPS |
|
|
Machine Translation (I8)
|
70% |
990
18.2 IPS |
