Microsoft Corporation Microsoft Surface Laptop, 7th Edition
Geekbench AI Score
2063
Single Precision Score
15310
Half Precision Score
26515
Quantized Score
Geekbench AI 1.2.0 for Windows AArch64
Result Information
| User | oldnick |
| Upload Date | February 02 2025 08:37 AM |
| Views | 3 |
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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
720
133.9 IPS |
|
|
Image Classification (HP)
|
100% |
10520
1.96 KIPS |
|
|
Image Classification (Q)
|
99% |
16367
3.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
844
13.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
7452
120.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
9531
155.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6108
7.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
70237
82.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
238370
279.4 IPS |
|
|
Object Detection (SP)
|
100% |
846
67.1 IPS |
|
|
Object Detection (HP)
|
100% |
10871
862.3 IPS |
|
|
Object Detection (Q)
|
92% |
13074
1.04 KIPS |
|
|
Face Detection (SP)
|
100% |
1799
21.4 IPS |
|
|
Face Detection (HP)
|
100% |
22374
265.9 IPS |
|
|
Face Detection (Q)
|
97% |
45463
542.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2423
18.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
41767
321.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
99608
799.2 IPS |
|
|
Style Transfer (SP)
|
100% |
14621
18.8 IPS |
|
|
Style Transfer (HP)
|
98% |
57303
73.9 IPS |
|
|
Style Transfer (Q)
|
98% |
210429
271.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2260
83.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28662
1.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
39072
1.45 KIPS |
|
|
Text Classification (SP)
|
100% |
1471
1.96 KIPS |
|
|
Text Classification (HP)
|
100% |
2312
3.09 KIPS |
|
|
Text Classification (Q)
|
95% |
3645
4.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
2101
36.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3333
57.4 IPS |
|
|
Machine Translation (Q)
|
67% |
2604
50.7 IPS |
