Microsoft Corporation Microsoft Surface Laptop, 7th Edition
Geekbench AI Score
2030
Single Precision Score
9448
Half Precision Score
17012
Quantized Score
Geekbench AI 1.1.0 for Windows AArch64
Result Information
| User | Longfellow55 |
| Upload Date | November 29 2024 07:13 PM |
| Views | 5 |
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 Professionnel (64-bit) |
| Model | Microsoft Corporation Microsoft Surface Laptop, 7th Edition |
| Motherboard | Microsoft Corporation Microsoft Surface Laptop, 7th Edition |
| Power Plan | Utilisation normale |
| 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% |
691
128.5 IPS |
|
|
Image Classification (HP)
|
100% |
8156
1.52 KIPS |
|
|
Image Classification (Q)
|
99% |
11310
2.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
763
12.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
7273
117.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
8787
142.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6257
7.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
68761
80.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
221736
259.9 IPS |
|
|
Object Detection (SP)
|
100% |
809
64.2 IPS |
|
|
Object Detection (HP)
|
100% |
8966
711.2 IPS |
|
|
Object Detection (Q)
|
82% |
10294
833.2 IPS |
|
|
Face Detection (SP)
|
100% |
1763
20.9 IPS |
|
|
Face Detection (HP)
|
100% |
20837
247.6 IPS |
|
|
Face Detection (Q)
|
97% |
37861
451.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2454
18.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
37956
292.4 IPS |
|
|
Depth Estimation (Q)
|
74% |
67704
550.2 IPS |
|
|
Style Transfer (SP)
|
100% |
13869
17.8 IPS |
|
|
Style Transfer (HP)
|
23% |
2690
92.6 IPS |
|
|
Style Transfer (Q)
|
98% |
168925
217.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2345
86.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22778
841.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
32537
1.20 KIPS |
|
|
Text Classification (SP)
|
100% |
1455
1.94 KIPS |
|
|
Text Classification (HP)
|
100% |
1308
1.75 KIPS |
|
|
Text Classification (Q)
|
95% |
1863
2.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
2184
37.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2447
42.2 IPS |
|
|
Machine Translation (Q)
|
37% |
341
33.2 IPS |
