Microsoft Corporation Microsoft Surface Pro, 11th Edition
Geekbench AI Score
2042
Single Precision Score
15200
Half Precision Score
26268
Quantized Score
Geekbench AI 1.2.0 for Windows AArch64
Result Information
| User | dynamiteCobra88 |
| Upload Date | December 16 2024 08:34 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | QNN |
| Device | Snapdragon(R) X 10-core X1P64100 @ 3.40 GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (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 10-core X1P64100 @ 3.40 GHz |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARMv8 (64-bit) Family 8 Model 1 Revision 201 |
| Base Frequency | 3.42 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
714
132.7 IPS |
|
|
Image Classification (HP)
|
100% |
10214
1.90 KIPS |
|
|
Image Classification (Q)
|
99% |
16263
3.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
820
13.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
7374
119.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
9364
152.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5649
6.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
70475
82.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
240563
282.0 IPS |
|
|
Object Detection (SP)
|
100% |
861
68.3 IPS |
|
|
Object Detection (HP)
|
100% |
10629
843.1 IPS |
|
|
Object Detection (Q)
|
92% |
12789
1.02 KIPS |
|
|
Face Detection (SP)
|
100% |
1886
22.4 IPS |
|
|
Face Detection (HP)
|
100% |
22261
264.5 IPS |
|
|
Face Detection (Q)
|
97% |
44276
527.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2440
18.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
42466
327.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
100355
805.2 IPS |
|
|
Style Transfer (SP)
|
100% |
14263
18.3 IPS |
|
|
Style Transfer (HP)
|
98% |
56715
73.1 IPS |
|
|
Style Transfer (Q)
|
98% |
215188
277.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2143
79.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28649
1.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
39343
1.46 KIPS |
|
|
Text Classification (SP)
|
100% |
1511
2.02 KIPS |
|
|
Text Classification (HP)
|
100% |
2314
3.09 KIPS |
|
|
Text Classification (Q)
|
95% |
3522
4.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
2088
36.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3283
56.5 IPS |
|
|
Machine Translation (Q)
|
67% |
2520
49.1 IPS |
