OEMMN OEMMN Product Name DV CVL2
Geekbench ML Score
2219
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AArch64
Result Information
| Upload Date | August 15 2024 05:30 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro Insider Preview (64-bit) |
| Model | OEMMN OEMMN Product Name DV CVL2 |
| Motherboard | OEMMN OEMMN Product Name DV CVL2 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Snapdragon(R) X Elite - X1E78100 - Qualcomm(R) Oryon(TM) CPU |
| Topology | 1 Processor, 12 Cores |
| Identifier | ARMv8 (64-bit) Family 8 Model 1 Revision 201 |
| Base Frequency | 3.42 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Snapdragon(R) X Elite - X1E78100 - Qualcomm(R) Adreno(TM) GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1447
270.8 IPS |
|
|
Image Classification (F16)
|
100% |
1216
227.5 IPS |
|
|
Image Classification (I8)
|
100% |
1017
190.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1543
25.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1543
25.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
1420
23.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
8456
10.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
9398
11.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
8390
10.2 IPS |
|
|
Object Detection (F32)
|
100% |
1195
89.2 IPS |
|
|
Object Detection (F16)
|
100% |
1064
79.4 IPS |
|
|
Object Detection (I8)
|
71% |
1017
75.9 IPS |
|
|
Face Detection (F32)
|
100% |
2507
29.8 IPS |
|
|
Face Detection (F16)
|
100% |
2656
31.6 IPS |
|
|
Face Detection (I8)
|
93% |
2157
25.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
5381
41.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
5524
42.8 IPS |
|
|
Depth Estimation (I8)
|
94% |
4543
35.2 IPS |
|
|
Style Transfer (F32)
|
100% |
12793
16.8 IPS |
|
|
Style Transfer (F16)
|
100% |
12674
16.7 IPS |
|
|
Style Transfer (I8)
|
98% |
11924
15.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4825
172.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4875
174.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3410
121.8 IPS |
|
|
Text Classification (F32)
|
100% |
279
400.5 IPS |
|
|
Text Classification (F16)
|
100% |
292
420.3 IPS |
|
|
Text Classification (I8)
|
98% |
244
350.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1064
19.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1077
19.8 IPS |
|
|
Machine Translation (I8)
|
65% |
685
12.6 IPS |
