Microsoft Corporation Microsoft Surface Laptop, 7th Edition
Geekbench AI Score
1976
Single Precision Score
14301
Half Precision Score
22691
Quantized Score
Geekbench AI 1.2.0 for Windows AArch64
Result Information
| User | katzecz |
| Upload Date | December 06 2024 10:09 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | QNN |
| Device | Snapdragon(R) X 10-core X1P64100 @ 3.40 GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Microsoft Corporation Microsoft Surface Laptop, 7th Edition |
| Motherboard | Microsoft Corporation Microsoft Surface Laptop, 7th Edition |
| Power Plan | Rovnovha |
| CPU Information | |
|---|---|
| Name | Snapdragon(R) X 10-core X1P64100 @ 3.40 GHz |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARMv8 (64-bit) Family 8 Model 1 Revision 201 |
| Base Frequency | 3.42 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
496
92.3 IPS |
|
|
Image Classification (HP)
|
100% |
10092
1.88 KIPS |
|
|
Image Classification (Q)
|
99% |
16175
3.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
707
11.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
6775
109.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
8969
145.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5831
6.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
69485
81.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
217540
255.0 IPS |
|
|
Object Detection (SP)
|
100% |
893
70.9 IPS |
|
|
Object Detection (HP)
|
100% |
10364
822.1 IPS |
|
|
Object Detection (Q)
|
92% |
9581
764.7 IPS |
|
|
Face Detection (SP)
|
100% |
1931
22.9 IPS |
|
|
Face Detection (HP)
|
100% |
21860
259.7 IPS |
|
|
Face Detection (Q)
|
97% |
36547
435.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2506
19.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
40210
309.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
86108
690.9 IPS |
|
|
Style Transfer (SP)
|
100% |
14112
18.1 IPS |
|
|
Style Transfer (HP)
|
98% |
56141
72.4 IPS |
|
|
Style Transfer (Q)
|
98% |
200481
258.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2152
79.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28414
1.05 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30834
1.14 KIPS |
|
|
Text Classification (SP)
|
100% |
1551
2.07 KIPS |
|
|
Text Classification (HP)
|
100% |
1703
2.27 KIPS |
|
|
Text Classification (Q)
|
95% |
3455
4.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
2189
37.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3044
52.4 IPS |
|
|
Machine Translation (Q)
|
67% |
1781
34.7 IPS |
