iPad Pro 11-inch (2nd generation)
Geekbench AI Score
1021
Single Precision Score
1561
Half Precision Score
1348
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 19 2025 11:43 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12Z Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| Model | iPad Pro 11-inch (2nd generation) |
| Model ID | iPad8,10 |
| Motherboard | J418AP |
| CPU Information | |
|---|---|
| Name | Apple A12Z Bionic |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 2.49 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 5.57 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
483
89.8 IPS |
|
|
Image Classification (HP)
|
100% |
805
149.8 IPS |
|
|
Image Classification (Q)
|
96% |
626
117.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
612
9.93 IPS |
|
|
Image Segmentation (HP)
|
100% |
976
15.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1036
16.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2605
3.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
2362
2.76 IPS |
|
|
Pose Estimation (Q)
|
96% |
2075
2.43 IPS |
|
|
Object Detection (SP)
|
100% |
541
42.9 IPS |
|
|
Object Detection (HP)
|
99% |
953
75.6 IPS |
|
|
Object Detection (Q)
|
92% |
763
60.9 IPS |
|
|
Face Detection (SP)
|
100% |
1267
15.1 IPS |
|
|
Face Detection (HP)
|
100% |
2347
27.9 IPS |
|
|
Face Detection (Q)
|
100% |
1484
17.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1761
13.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
2681
20.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
2239
17.5 IPS |
|
|
Style Transfer (SP)
|
100% |
5137
6.60 IPS |
|
|
Style Transfer (HP)
|
100% |
7872
10.1 IPS |
|
|
Style Transfer (Q)
|
96% |
7063
9.12 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1253
46.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1407
52.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1184
43.7 IPS |
|
|
Text Classification (SP)
|
100% |
285
380.4 IPS |
|
|
Text Classification (HP)
|
100% |
559
746.4 IPS |
|
|
Text Classification (Q)
|
93% |
554
744.1 IPS |
|
|
Machine Translation (SP)
|
100% |
724
12.5 IPS |
|
|
Machine Translation (HP)
|
98% |
1252
21.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1254
21.7 IPS |
