Microsoft Corporation Microsoft Surface Laptop, 7th Edition 15" Microsoft Corporation Microsoft Surface Laptop, 7th Edition
Geekbench AI Score
1850
Single Precision Score
14490
Half Precision Score
32443
Quantized Score
Geekbench AI 1.3.0 for Windows AArch64
Result Information
| User | sbisson |
| Upload Date | May 29 2025 02:21 PM |
| 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 Pro (64-bit) |
| Model | Microsoft Corporation Microsoft Surface Laptop, 7th Edition |
| Motherboard | Microsoft Corporation Microsoft Surface Laptop, 7th Edition |
| Power Plan | Balanced |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
665
123.7 IPS |
|
|
Image Classification (HP)
|
100% |
9239
1.72 KIPS |
|
|
Image Classification (Q)
|
99% |
17042
3.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
546
8.84 IPS |
|
|
Image Segmentation (HP)
|
100% |
8031
130.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
15901
258.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5058
5.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
67933
79.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
217817
255.3 IPS |
|
|
Object Detection (SP)
|
100% |
890
70.6 IPS |
|
|
Object Detection (HP)
|
100% |
9615
762.6 IPS |
|
|
Object Detection (Q)
|
92% |
18513
1.48 KIPS |
|
|
Face Detection (SP)
|
100% |
1565
18.6 IPS |
|
|
Face Detection (HP)
|
100% |
23157
275.2 IPS |
|
|
Face Detection (Q)
|
97% |
57304
683.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2437
18.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
39980
308.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
95866
765.2 IPS |
|
|
Style Transfer (SP)
|
100% |
15295
19.7 IPS |
|
|
Style Transfer (HP)
|
98% |
57082
73.6 IPS |
|
|
Style Transfer (Q)
|
98% |
248403
320.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1870
69.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28198
1.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48599
1.79 KIPS |
|
|
Text Classification (SP)
|
100% |
1490
1.99 KIPS |
|
|
Text Classification (HP)
|
100% |
1592
2.13 KIPS |
|
|
Text Classification (Q)
|
95% |
3341
4.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
1771
30.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3550
61.1 IPS |
|
|
Machine Translation (Q)
|
67% |
5337
103.9 IPS |
