Microsoft Corporation Microsoft Surface Laptop, 7th Edition
Geekbench AI Score
2194
Single Precision Score
10024
Half Precision Score
17176
Quantized Score
Geekbench AI 1.1.0 for Windows AArch64
Result Information
| Upload Date | September 18 2024 02:48 PM |
| Views | 2 |
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% |
737
137.0 IPS |
|
|
Image Classification (HP)
|
100% |
8652
1.61 KIPS |
|
|
Image Classification (Q)
|
99% |
11884
2.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
742
12.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
7021
113.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
8182
133.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6844
7.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
66275
77.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
233784
274.0 IPS |
|
|
Object Detection (SP)
|
100% |
917
72.7 IPS |
|
|
Object Detection (HP)
|
100% |
10262
814.0 IPS |
|
|
Object Detection (Q)
|
82% |
10299
833.6 IPS |
|
|
Face Detection (SP)
|
100% |
1884
22.4 IPS |
|
|
Face Detection (HP)
|
100% |
21867
259.8 IPS |
|
|
Face Detection (Q)
|
97% |
37440
446.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2656
20.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
40689
313.5 IPS |
|
|
Depth Estimation (Q)
|
74% |
65477
532.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17158
22.1 IPS |
|
|
Style Transfer (HP)
|
23% |
2661
91.6 IPS |
|
|
Style Transfer (Q)
|
98% |
170845
220.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2436
90.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28747
1.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36926
1.37 KIPS |
|
|
Text Classification (SP)
|
100% |
1621
2.16 KIPS |
|
|
Text Classification (HP)
|
100% |
1467
1.96 KIPS |
|
|
Text Classification (Q)
|
95% |
2237
3.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
2231
38.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2485
42.8 IPS |
|
|
Machine Translation (Q)
|
37% |
276
26.9 IPS |
