iPad Pro (11-inch)
Geekbench AI Score
970
Single Precision Score
1517
Half Precision Score
1317
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | s11mac |
| Upload Date | March 05 2025 06:42 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12X Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
488
90.8 IPS |
|
|
Image Classification (HP)
|
100% |
799
148.5 IPS |
|
|
Image Classification (Q)
|
96% |
639
119.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
620
10.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
994
16.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1021
16.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2510
2.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
2174
2.54 IPS |
|
|
Pose Estimation (Q)
|
96% |
1971
2.31 IPS |
|
|
Object Detection (SP)
|
100% |
539
42.7 IPS |
|
|
Object Detection (HP)
|
99% |
959
76.1 IPS |
|
|
Object Detection (Q)
|
92% |
761
60.7 IPS |
|
|
Face Detection (SP)
|
100% |
1259
15.0 IPS |
|
|
Face Detection (HP)
|
100% |
2330
27.7 IPS |
|
|
Face Detection (Q)
|
100% |
1518
18.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1521
11.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
2662
20.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
2194
17.1 IPS |
|
|
Style Transfer (SP)
|
100% |
3672
4.72 IPS |
|
|
Style Transfer (HP)
|
100% |
6592
8.47 IPS |
|
|
Style Transfer (Q)
|
96% |
6046
7.80 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1235
45.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1348
49.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1143
42.2 IPS |
|
|
Text Classification (SP)
|
100% |
285
380.2 IPS |
|
|
Text Classification (HP)
|
99% |
548
732.1 IPS |
|
|
Text Classification (Q)
|
93% |
547
733.8 IPS |
|
|
Machine Translation (SP)
|
100% |
730
12.6 IPS |
|
|
Machine Translation (HP)
|
98% |
1299
22.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1283
22.2 IPS |
