iPad Pro (11-inch)
Geekbench AI Score
713
Single Precision Score
2432
Half Precision Score
446
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 22 2024 01:10 PM |
| 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 | iPad8,3 |
| Motherboard | J318AP |
| 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% |
335
62.3 IPS |
|
|
Image Classification (HP)
|
100% |
2211
411.2 IPS |
|
|
Image Classification (Q)
|
99% |
170
31.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
298
4.83 IPS |
|
|
Image Segmentation (HP)
|
100% |
400
6.48 IPS |
|
|
Image Segmentation (Q)
|
99% |
227
3.67 IPS |
|
|
Pose Estimation (SP)
|
100% |
2233
2.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
27303
31.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
1540
1.81 IPS |
|
|
Object Detection (SP)
|
100% |
384
30.4 IPS |
|
|
Object Detection (HP)
|
100% |
1406
111.5 IPS |
|
|
Object Detection (Q)
|
94% |
203
16.2 IPS |
|
|
Face Detection (SP)
|
100% |
851
10.1 IPS |
|
|
Face Detection (HP)
|
100% |
6447
76.6 IPS |
|
|
Face Detection (Q)
|
100% |
301
3.58 IPS |
|
|
Depth Estimation (SP)
|
100% |
1057
8.14 IPS |
|
|
Depth Estimation (HP)
|
99% |
22727
175.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
604
4.72 IPS |
|
|
Style Transfer (SP)
|
100% |
3549
4.56 IPS |
|
|
Style Transfer (HP)
|
100% |
3496
4.49 IPS |
|
|
Style Transfer (Q)
|
96% |
2530
3.27 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
963
35.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3620
133.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
498
18.4 IPS |
|
|
Text Classification (SP)
|
100% |
264
351.7 IPS |
|
|
Text Classification (HP)
|
100% |
302
403.2 IPS |
|
|
Text Classification (Q)
|
93% |
300
402.4 IPS |
|
|
Machine Translation (SP)
|
100% |
493
8.49 IPS |
|
|
Machine Translation (HP)
|
100% |
381
6.56 IPS |
|
|
Machine Translation (Q)
|
98% |
380
6.57 IPS |
