iPad Pro 11-inch (2nd generation)
Geekbench AI Score
1071
Single Precision Score
1633
Half Precision Score
1417
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 05 2026 01:27 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12Z Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.5 |
| 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
90.4 IPS |
|
|
Image Classification (HP)
|
100% |
798
148.5 IPS |
|
|
Image Classification (Q)
|
96% |
626
116.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
609
9.88 IPS |
|
|
Image Segmentation (HP)
|
100% |
959
15.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
1019
16.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2564
2.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
2340
2.73 IPS |
|
|
Pose Estimation (Q)
|
96% |
2218
2.60 IPS |
|
|
Object Detection (SP)
|
100% |
544
43.1 IPS |
|
|
Object Detection (HP)
|
99% |
955
75.8 IPS |
|
|
Object Detection (Q)
|
92% |
759
60.6 IPS |
|
|
Face Detection (SP)
|
100% |
1268
15.1 IPS |
|
|
Face Detection (HP)
|
100% |
2357
28.0 IPS |
|
|
Face Detection (Q)
|
100% |
1494
17.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1764
13.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
2685
20.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
2231
17.4 IPS |
|
|
Style Transfer (SP)
|
100% |
5020
6.45 IPS |
|
|
Style Transfer (HP)
|
100% |
7909
10.2 IPS |
|
|
Style Transfer (Q)
|
96% |
7087
9.15 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1291
47.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1449
53.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1193
44.0 IPS |
|
|
Text Classification (SP)
|
99% |
465
620.2 IPS |
|
|
Text Classification (HP)
|
99% |
866
1.16 KIPS |
|
|
Text Classification (Q)
|
93% |
860
1.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
718
12.4 IPS |
|
|
Machine Translation (HP)
|
99% |
1258
21.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1257
21.7 IPS |
