iPad Pro (11-inch)
Geekbench AI Score
716
Single Precision Score
2448
Half Precision Score
447
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 06 2025 01:12 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12X Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPad Pro (11-inch) |
| Model ID | iPad8,1 |
| Motherboard | J317AP |
| CPU Information | |
|---|---|
| Name | Apple A12X Bionic |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 2.49 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 3.70 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
344
63.9 IPS |
|
|
Image Classification (HP)
|
100% |
2303
428.4 IPS |
|
|
Image Classification (Q)
|
99% |
170
31.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
302
4.90 IPS |
|
|
Image Segmentation (HP)
|
100% |
400
6.49 IPS |
|
|
Image Segmentation (Q)
|
99% |
225
3.65 IPS |
|
|
Pose Estimation (SP)
|
100% |
2226
2.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
27283
31.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
1538
1.80 IPS |
|
|
Object Detection (SP)
|
100% |
383
30.4 IPS |
|
|
Object Detection (HP)
|
100% |
1409
111.8 IPS |
|
|
Object Detection (Q)
|
94% |
202
16.1 IPS |
|
|
Face Detection (SP)
|
100% |
856
10.2 IPS |
|
|
Face Detection (HP)
|
100% |
6467
76.8 IPS |
|
|
Face Detection (Q)
|
100% |
302
3.59 IPS |
|
|
Depth Estimation (SP)
|
100% |
1065
8.20 IPS |
|
|
Depth Estimation (HP)
|
99% |
22978
177.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
603
4.71 IPS |
|
|
Style Transfer (SP)
|
100% |
3548
4.56 IPS |
|
|
Style Transfer (HP)
|
100% |
3491
4.49 IPS |
|
|
Style Transfer (Q)
|
96% |
2545
3.28 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
968
35.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3621
133.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
506
18.7 IPS |
|
|
Text Classification (SP)
|
100% |
263
350.8 IPS |
|
|
Text Classification (HP)
|
100% |
305
406.5 IPS |
|
|
Text Classification (Q)
|
93% |
301
404.5 IPS |
|
|
Machine Translation (SP)
|
100% |
490
8.44 IPS |
|
|
Machine Translation (HP)
|
100% |
381
6.56 IPS |
|
|
Machine Translation (Q)
|
98% |
380
6.57 IPS |
