Microsoft Corporation Windows Dev Kit 2023
Geekbench AI Score
1036
Single Precision Score
301
Half Precision Score
317
Quantized Score
Geekbench AI 1.0.0 Corporate for Windows AArch64
Result Information
| Upload Date | August 11 2024 08:46 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | QNN |
| Device | Snapdragon Compute Platform |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Microsoft Corporation Windows Dev Kit 2023 |
| Motherboard | Microsoft Corporation Windows Dev Kit 2023 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Snapdragon Compute Platform |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARMv8 (64-bit) Family 8 Model D4B Revision 0 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
409
76.1 IPS |
|
|
Image Classification (HP)
|
100% |
103
19.1 IPS |
|
|
Image Classification (Q)
|
100% |
191
35.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
527
8.54 IPS |
|
|
Image Segmentation (HP)
|
100% |
162
2.63 IPS |
|
|
Image Segmentation (Q)
|
98% |
231
3.75 IPS |
|
|
Pose Estimation (SP)
|
100% |
1982
2.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
614
0.72 IPS |
|
|
Pose Estimation (Q)
|
95% |
483
0.57 IPS |
|
|
Object Detection (SP)
|
100% |
508
40.3 IPS |
|
|
Object Detection (HP)
|
99% |
125
9.98 IPS |
|
|
Object Detection (Q)
|
89% |
163
13.0 IPS |
|
|
Face Detection (SP)
|
100% |
1143
13.6 IPS |
|
|
Face Detection (HP)
|
100% |
191
2.27 IPS |
|
|
Face Detection (Q)
|
97% |
432
5.15 IPS |
|
|
Depth Estimation (SP)
|
100% |
1418
10.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
463
3.58 IPS |
|
|
Depth Estimation (Q)
|
73% |
473
3.86 IPS |
|
|
Style Transfer (SP)
|
100% |
4949
6.36 IPS |
|
|
Style Transfer (HP)
|
100% |
1720
2.21 IPS |
|
|
Style Transfer (Q)
|
98% |
1134
1.46 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1013
37.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
358
13.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
273
10.1 IPS |
|
|
Text Classification (SP)
|
100% |
849
1.13 KIPS |
|
|
Text Classification (HP)
|
100% |
218
290.5 IPS |
|
|
Text Classification (Q)
|
97% |
199
266.3 IPS |
|
|
Machine Translation (SP)
|
100% |
957
16.5 IPS |
|
|
Machine Translation (HP)
|
99% |
402
6.94 IPS |
|
|
Machine Translation (Q)
|
59% |
240
5.54 IPS |
