Microsoft Corporation Microsoft Surface Laptop, 7th Edition
Geekbench AI Score
2095
Single Precision Score
13212
Half Precision Score
21705
Quantized Score
Geekbench AI 1.2.0 for Windows AArch64
Result Information
| Upload Date | December 25 2024 05:27 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | QNN |
| Device | Snapdragon(R) X 12-core X1E80100 @ 3.40 GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Microsoft Corporation Microsoft Surface Laptop, 7th Edition |
| Motherboard | Microsoft Corporation Microsoft Surface Laptop, 7th Edition |
| CPU Information | |
|---|---|
| Name | Snapdragon(R) X 12-core X1E80100 @ 3.40 GHz |
| 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 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
719
133.7 IPS |
|
|
Image Classification (HP)
|
100% |
9743
1.81 KIPS |
|
|
Image Classification (Q)
|
99% |
11254
2.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
614
9.95 IPS |
|
|
Image Segmentation (HP)
|
100% |
6731
109.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
8661
140.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6467
7.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
65900
76.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
222118
260.4 IPS |
|
|
Object Detection (SP)
|
100% |
836
66.3 IPS |
|
|
Object Detection (HP)
|
100% |
9149
725.7 IPS |
|
|
Object Detection (Q)
|
92% |
9061
723.3 IPS |
|
|
Face Detection (SP)
|
100% |
1956
23.2 IPS |
|
|
Face Detection (HP)
|
100% |
20340
241.7 IPS |
|
|
Face Detection (Q)
|
97% |
35657
425.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2625
20.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
38981
300.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
88233
707.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16913
21.7 IPS |
|
|
Style Transfer (HP)
|
98% |
55451
71.5 IPS |
|
|
Style Transfer (Q)
|
98% |
207361
267.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2389
88.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24055
888.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
38426
1.42 KIPS |
|
|
Text Classification (SP)
|
100% |
1545
2.06 KIPS |
|
|
Text Classification (HP)
|
100% |
1652
2.20 KIPS |
|
|
Text Classification (Q)
|
95% |
2665
3.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
2129
36.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2347
40.4 IPS |
|
|
Machine Translation (Q)
|
67% |
1771
34.5 IPS |
