iPad Pro 11-inch (2nd generation)
Geekbench AI Score
1020
Single Precision Score
1559
Half Precision Score
1350
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 11 2025 06:27 PM |
| Views | 7 |
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% |
486
90.3 IPS |
|
|
Image Classification (HP)
|
100% |
802
149.2 IPS |
|
|
Image Classification (Q)
|
96% |
631
117.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
613
9.93 IPS |
|
|
Image Segmentation (HP)
|
100% |
976
15.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1022
16.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2601
3.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
2336
2.73 IPS |
|
|
Pose Estimation (Q)
|
96% |
2119
2.48 IPS |
|
|
Object Detection (SP)
|
100% |
542
43.0 IPS |
|
|
Object Detection (HP)
|
99% |
953
75.6 IPS |
|
|
Object Detection (Q)
|
92% |
760
60.7 IPS |
|
|
Face Detection (SP)
|
100% |
1261
15.0 IPS |
|
|
Face Detection (HP)
|
100% |
2334
27.7 IPS |
|
|
Face Detection (Q)
|
100% |
1479
17.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1757
13.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
2681
20.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
2247
17.6 IPS |
|
|
Style Transfer (SP)
|
100% |
5136
6.60 IPS |
|
|
Style Transfer (HP)
|
100% |
7879
10.1 IPS |
|
|
Style Transfer (Q)
|
96% |
7074
9.13 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1250
46.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1419
52.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1183
43.7 IPS |
|
|
Text Classification (SP)
|
100% |
285
380.7 IPS |
|
|
Text Classification (HP)
|
100% |
558
744.3 IPS |
|
|
Text Classification (Q)
|
93% |
556
746.0 IPS |
|
|
Machine Translation (SP)
|
100% |
719
12.4 IPS |
|
|
Machine Translation (HP)
|
98% |
1252
21.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1253
21.7 IPS |
