Alienware Alienware m15 R3
Geekbench ML Score
8394
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | April 26 2024 05:04 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% |
4296
803.8 IPS |
|
|
Image Classification (F16)
|
100% |
4286
802.0 IPS |
|
|
Image Classification (I8)
|
100% |
3381
632.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
4992
83.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
4836
80.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
4083
68.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
46672
56.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
47154
57.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
50637
61.3 IPS |
|
|
Object Detection (F32)
|
100% |
3037
226.7 IPS |
|
|
Object Detection (F16)
|
100% |
3162
236.1 IPS |
|
|
Object Detection (I8)
|
61% |
2880
215.0 IPS |
|
|
Face Detection (F32)
|
100% |
11932
141.9 IPS |
|
|
Face Detection (F16)
|
100% |
11856
141.0 IPS |
|
|
Face Detection (I8)
|
89% |
9386
111.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
29687
230.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
29511
228.9 IPS |
|
|
Depth Estimation (I8)
|
95% |
21494
166.7 IPS |
|
|
Style Transfer (F32)
|
100% |
90213
118.7 IPS |
|
|
Style Transfer (F16)
|
100% |
76852
101.1 IPS |
|
|
Style Transfer (I8)
|
98% |
65204
85.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
15496
553.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
15296
546.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
9728
347.4 IPS |
|
|
Text Classification (F32)
|
100% |
1359
1.95 KIPS |
|
|
Text Classification (F16)
|
100% |
1347
1.94 KIPS |
|
|
Text Classification (I8)
|
98% |
992
1.43 KIPS |
|
|
Machine Translation (F32)
|
100% |
2198
40.5 IPS |
|
|
Machine Translation (F16)
|
100% |
2148
39.5 IPS |
|
|
Machine Translation (I8)
|
70% |
1241
22.8 IPS |
