Microsoft Corporation Microsoft Surface Pro, 11th Edition
Geekbench AI Score
1986
Single Precision Score
10872
Half Precision Score
21590
Quantized Score
Geekbench AI 1.0.0 for Windows AArch64
Result Information
| User | TBayliss |
| Upload Date | September 04 2024 11:18 AM |
| Views | 7 |
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 Pro, 11th Edition |
| Motherboard | Microsoft Corporation Microsoft Surface Pro, 11th 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% |
731
136.0 IPS |
|
|
Image Classification (HP)
|
100% |
10480
1.95 KIPS |
|
|
Image Classification (Q)
|
99% |
16889
3.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
833
13.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
7595
123.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
9317
151.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6542
7.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
70499
82.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
241170
282.7 IPS |
|
|
Object Detection (SP)
|
100% |
932
73.9 IPS |
|
|
Object Detection (HP)
|
100% |
10497
832.6 IPS |
|
|
Object Detection (Q)
|
82% |
16140
1.31 KIPS |
|
|
Face Detection (SP)
|
100% |
1895
22.5 IPS |
|
|
Face Detection (HP)
|
100% |
22805
271.0 IPS |
|
|
Face Detection (Q)
|
97% |
47094
561.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2666
20.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
41345
318.5 IPS |
|
|
Depth Estimation (Q)
|
71% |
80759
671.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16835
21.6 IPS |
|
|
Style Transfer (HP)
|
23% |
2791
96.1 IPS |
|
|
Style Transfer (Q)
|
98% |
177081
228.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1786
65.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28471
1.05 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40180
1.49 KIPS |
|
|
Text Classification (SP)
|
100% |
1485
1.98 KIPS |
|
|
Text Classification (HP)
|
100% |
1995
2.66 KIPS |
|
|
Text Classification (Q)
|
95% |
3522
4.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
1143
19.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2621
45.1 IPS |
|
|
Machine Translation (Q)
|
37% |
377
36.7 IPS |
