Microsoft Corporation Microsoft Surface Laptop, 7th Edition
Geekbench AI Score
2101
Single Precision Score
15992
Half Precision Score
36012
Quantized Score
Geekbench AI 1.3.0 for Windows AArch64
Result Information
| User | Galleywest59 |
| Upload Date | April 07 2025 07:54 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 Home (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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
717
133.4 IPS |
|
|
Image Classification (HP)
|
100% |
10672
1.98 KIPS |
|
|
Image Classification (Q)
|
99% |
18292
3.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
846
13.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
8055
130.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
17335
281.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6411
7.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
70953
82.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
246295
288.7 IPS |
|
|
Object Detection (SP)
|
100% |
840
66.6 IPS |
|
|
Object Detection (HP)
|
100% |
11436
907.1 IPS |
|
|
Object Detection (Q)
|
92% |
20022
1.60 KIPS |
|
|
Face Detection (SP)
|
100% |
1889
22.4 IPS |
|
|
Face Detection (HP)
|
100% |
24282
288.5 IPS |
|
|
Face Detection (Q)
|
97% |
63768
760.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2516
19.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
42452
327.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
106956
853.7 IPS |
|
|
Style Transfer (SP)
|
100% |
14967
19.2 IPS |
|
|
Style Transfer (HP)
|
98% |
57728
74.4 IPS |
|
|
Style Transfer (Q)
|
98% |
259890
335.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2254
83.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28796
1.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
60348
2.23 KIPS |
|
|
Text Classification (SP)
|
100% |
1472
1.96 KIPS |
|
|
Text Classification (HP)
|
100% |
2321
3.10 KIPS |
|
|
Text Classification (Q)
|
95% |
3612
4.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
2182
37.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3946
68.0 IPS |
|
|
Machine Translation (Q)
|
67% |
6073
118.2 IPS |
