iPad Pro 11-inch (2nd generation)
Geekbench AI Score
1018
Single Precision Score
1551
Half Precision Score
1349
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 25 2025 05:52 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12Z Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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
90.5 IPS |
|
|
Image Classification (HP)
|
100% |
798
148.4 IPS |
|
|
Image Classification (Q)
|
96% |
624
116.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
609
9.87 IPS |
|
|
Image Segmentation (HP)
|
100% |
955
15.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
1024
16.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2620
3.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
2313
2.70 IPS |
|
|
Pose Estimation (Q)
|
96% |
2136
2.50 IPS |
|
|
Object Detection (SP)
|
100% |
543
43.1 IPS |
|
|
Object Detection (HP)
|
99% |
944
74.9 IPS |
|
|
Object Detection (Q)
|
92% |
757
60.4 IPS |
|
|
Face Detection (SP)
|
100% |
1261
15.0 IPS |
|
|
Face Detection (HP)
|
100% |
2316
27.5 IPS |
|
|
Face Detection (Q)
|
100% |
1472
17.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1729
13.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
2661
20.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
2214
17.3 IPS |
|
|
Style Transfer (SP)
|
100% |
5078
6.53 IPS |
|
|
Style Transfer (HP)
|
100% |
7916
10.2 IPS |
|
|
Style Transfer (Q)
|
96% |
7065
9.12 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1247
46.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1422
52.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1178
43.5 IPS |
|
|
Text Classification (SP)
|
100% |
289
385.8 IPS |
|
|
Text Classification (HP)
|
100% |
555
740.6 IPS |
|
|
Text Classification (Q)
|
93% |
551
738.9 IPS |
|
|
Machine Translation (SP)
|
100% |
717
12.4 IPS |
|
|
Machine Translation (HP)
|
99% |
1259
21.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1294
22.4 IPS |
