iPad Pro 11-inch (2nd generation)
Geekbench AI Score
1068
Single Precision Score
1629
Half Precision Score
1411
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | March 01 2026 09:59 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12Z Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.4 |
| 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% |
487
90.5 IPS |
|
|
Image Classification (HP)
|
100% |
797
148.3 IPS |
|
|
Image Classification (Q)
|
96% |
625
116.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
611
9.90 IPS |
|
|
Image Segmentation (HP)
|
100% |
962
15.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
1016
16.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2554
2.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
2326
2.71 IPS |
|
|
Pose Estimation (Q)
|
96% |
2112
2.47 IPS |
|
|
Object Detection (SP)
|
100% |
544
43.2 IPS |
|
|
Object Detection (HP)
|
99% |
946
75.1 IPS |
|
|
Object Detection (Q)
|
92% |
759
60.6 IPS |
|
|
Face Detection (SP)
|
100% |
1268
15.1 IPS |
|
|
Face Detection (HP)
|
100% |
2360
28.0 IPS |
|
|
Face Detection (Q)
|
100% |
1484
17.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1762
13.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
2689
20.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
2302
18.0 IPS |
|
|
Style Transfer (SP)
|
100% |
4973
6.39 IPS |
|
|
Style Transfer (HP)
|
100% |
7887
10.1 IPS |
|
|
Style Transfer (Q)
|
96% |
7082
9.14 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1270
46.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1436
53.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1180
43.6 IPS |
|
|
Text Classification (SP)
|
100% |
466
622.1 IPS |
|
|
Text Classification (HP)
|
99% |
863
1.15 KIPS |
|
|
Text Classification (Q)
|
93% |
863
1.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
716
12.3 IPS |
|
|
Machine Translation (HP)
|
99% |
1263
21.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1253
21.7 IPS |
