Microsoft Corporation Microsoft Surface Laptop, 7th Edition
Geekbench AI Score
1939
Single Precision Score
3088
Half Precision Score
5999
Quantized Score
Geekbench AI 1.3.0 for Windows AArch64
Result Information
| Upload Date | May 18 2025 07:47 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| 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% |
714
132.9 IPS |
|
|
Image Classification (HP)
|
100% |
2822
524.9 IPS |
|
|
Image Classification (Q)
|
99% |
7002
1.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
787
12.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3439
55.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1750
28.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6252
7.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
8195
9.56 IPS |
|
|
Pose Estimation (Q)
|
94% |
19692
23.1 IPS |
|
|
Object Detection (SP)
|
100% |
764
60.6 IPS |
|
|
Object Detection (HP)
|
99% |
2389
190.0 IPS |
|
|
Object Detection (Q)
|
86% |
6365
511.5 IPS |
|
|
Face Detection (SP)
|
100% |
1719
20.4 IPS |
|
|
Face Detection (HP)
|
100% |
6441
76.5 IPS |
|
|
Face Detection (Q)
|
97% |
11200
133.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2245
17.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
3295
25.5 IPS |
|
|
Depth Estimation (Q)
|
79% |
10481
83.3 IPS |
|
|
Style Transfer (SP)
|
100% |
13582
17.5 IPS |
|
|
Style Transfer (HP)
|
100% |
10218
13.1 IPS |
|
|
Style Transfer (Q)
|
98% |
34378
44.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2100
77.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1396
51.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3454
127.9 IPS |
|
|
Text Classification (SP)
|
100% |
1340
1.79 KIPS |
|
|
Text Classification (HP)
|
100% |
499
666.3 IPS |
|
|
Text Classification (Q)
|
97% |
932
1.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
1907
32.9 IPS |
|
|
Machine Translation (HP)
|
99% |
2750
47.5 IPS |
|
|
Machine Translation (Q)
|
65% |
3030
60.9 IPS |
