Microsoft Corporation Windows Dev Kit 2023
Geekbench AI Score
1034
Single Precision Score
987
Half Precision Score
2538
Quantized Score
Geekbench AI 1.0.0 Corporate for Windows AArch64
Result Information
| Upload Date | August 11 2024 07:30 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| 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% |
399
74.1 IPS |
|
|
Image Classification (HP)
|
100% |
415
77.1 IPS |
|
|
Image Classification (Q)
|
99% |
1696
316.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
524
8.50 IPS |
|
|
Image Segmentation (HP)
|
100% |
1517
24.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1555
25.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1987
2.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
1978
2.31 IPS |
|
|
Pose Estimation (Q)
|
95% |
7934
9.30 IPS |
|
|
Object Detection (SP)
|
100% |
510
40.4 IPS |
|
|
Object Detection (HP)
|
99% |
486
38.6 IPS |
|
|
Object Detection (Q)
|
88% |
1638
131.3 IPS |
|
|
Face Detection (SP)
|
100% |
1140
13.6 IPS |
|
|
Face Detection (HP)
|
100% |
735
8.73 IPS |
|
|
Face Detection (Q)
|
97% |
3300
39.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1417
10.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
1570
12.1 IPS |
|
|
Depth Estimation (Q)
|
76% |
5448
43.9 IPS |
|
|
Style Transfer (SP)
|
100% |
4940
6.35 IPS |
|
|
Style Transfer (HP)
|
100% |
6182
7.95 IPS |
|
|
Style Transfer (Q)
|
98% |
15563
20.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1010
37.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
695
25.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2483
91.9 IPS |
|
|
Text Classification (SP)
|
100% |
859
1.15 KIPS |
|
|
Text Classification (HP)
|
100% |
304
406.1 IPS |
|
|
Text Classification (Q)
|
97% |
374
501.3 IPS |
|
|
Machine Translation (SP)
|
100% |
955
16.5 IPS |
|
|
Machine Translation (HP)
|
99% |
969
16.7 IPS |
|
|
Machine Translation (Q)
|
60% |
1248
27.8 IPS |
