iPad Pro 11-inch (2nd generation)
Geekbench AI Score
1072
Single Precision Score
1628
Half Precision Score
1409
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | March 25 2026 08:27 AM |
| Views | 5 |
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% |
494
91.8 IPS |
|
|
Image Classification (HP)
|
100% |
796
148.0 IPS |
|
|
Image Classification (Q)
|
96% |
621
115.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
611
9.90 IPS |
|
|
Image Segmentation (HP)
|
100% |
966
15.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
1009
16.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2565
2.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
2343
2.73 IPS |
|
|
Pose Estimation (Q)
|
96% |
2206
2.58 IPS |
|
|
Object Detection (SP)
|
100% |
543
43.1 IPS |
|
|
Object Detection (HP)
|
99% |
944
74.9 IPS |
|
|
Object Detection (Q)
|
92% |
755
60.3 IPS |
|
|
Face Detection (SP)
|
100% |
1268
15.1 IPS |
|
|
Face Detection (HP)
|
100% |
2380
28.3 IPS |
|
|
Face Detection (Q)
|
100% |
1479
17.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1766
13.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
2658
20.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
2213
17.3 IPS |
|
|
Style Transfer (SP)
|
100% |
5038
6.48 IPS |
|
|
Style Transfer (HP)
|
100% |
7888
10.1 IPS |
|
|
Style Transfer (Q)
|
96% |
7097
9.16 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1270
46.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1411
52.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1170
43.2 IPS |
|
|
Text Classification (SP)
|
99% |
466
621.6 IPS |
|
|
Text Classification (HP)
|
99% |
873
1.16 KIPS |
|
|
Text Classification (Q)
|
93% |
869
1.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
720
12.4 IPS |
|
|
Machine Translation (HP)
|
99% |
1255
21.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1254
21.7 IPS |
