iPad Pro 11-inch (2nd generation)
Geekbench AI Score
1022
Single Precision Score
1566
Half Precision Score
1356
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 10 2025 01:48 AM |
| Views | 4 |
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% |
500
93.1 IPS |
|
|
Image Classification (HP)
|
100% |
836
155.4 IPS |
|
|
Image Classification (Q)
|
96% |
630
117.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
613
9.94 IPS |
|
|
Image Segmentation (HP)
|
100% |
984
16.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
1032
16.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2599
3.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
2341
2.73 IPS |
|
|
Pose Estimation (Q)
|
96% |
2170
2.54 IPS |
|
|
Object Detection (SP)
|
100% |
542
43.0 IPS |
|
|
Object Detection (HP)
|
99% |
952
75.5 IPS |
|
|
Object Detection (Q)
|
92% |
767
61.2 IPS |
|
|
Face Detection (SP)
|
100% |
1260
15.0 IPS |
|
|
Face Detection (HP)
|
100% |
2328
27.7 IPS |
|
|
Face Detection (Q)
|
100% |
1484
17.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1757
13.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
2680
20.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
2214
17.3 IPS |
|
|
Style Transfer (SP)
|
100% |
5119
6.58 IPS |
|
|
Style Transfer (HP)
|
100% |
7884
10.1 IPS |
|
|
Style Transfer (Q)
|
96% |
7087
9.15 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1247
46.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1418
52.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1204
44.5 IPS |
|
|
Text Classification (SP)
|
100% |
286
381.7 IPS |
|
|
Text Classification (HP)
|
100% |
558
745.0 IPS |
|
|
Text Classification (Q)
|
93% |
556
745.7 IPS |
|
|
Machine Translation (SP)
|
100% |
719
12.4 IPS |
|
|
Machine Translation (HP)
|
98% |
1251
21.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1255
21.7 IPS |
