iPad Pro 11-inch (2nd generation)
Geekbench AI Score
1269
Single Precision Score
1542
Half Precision Score
424
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | January 13 2026 06:45 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A12Z Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
973
180.9 IPS |
|
|
Image Classification (HP)
|
100% |
1303
242.4 IPS |
|
|
Image Classification (Q)
|
96% |
171
32.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
368
5.97 IPS |
|
|
Image Segmentation (HP)
|
100% |
376
6.10 IPS |
|
|
Image Segmentation (Q)
|
99% |
239
3.87 IPS |
|
|
Pose Estimation (SP)
|
100% |
3177
3.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
4598
5.37 IPS |
|
|
Pose Estimation (Q)
|
96% |
1915
2.24 IPS |
|
|
Object Detection (SP)
|
100% |
1007
79.9 IPS |
|
|
Object Detection (HP)
|
100% |
1303
103.4 IPS |
|
|
Object Detection (Q)
|
92% |
199
15.9 IPS |
|
|
Face Detection (SP)
|
100% |
3876
46.1 IPS |
|
|
Face Detection (HP)
|
100% |
4416
52.5 IPS |
|
|
Face Detection (Q)
|
100% |
307
3.65 IPS |
|
|
Depth Estimation (SP)
|
100% |
3151
24.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4693
36.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
580
4.53 IPS |
|
|
Style Transfer (SP)
|
100% |
8873
11.4 IPS |
|
|
Style Transfer (HP)
|
100% |
10779
13.9 IPS |
|
|
Style Transfer (Q)
|
96% |
3127
4.04 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1546
57.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2254
83.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
423
15.6 IPS |
|
|
Text Classification (SP)
|
100% |
105
139.9 IPS |
|
|
Text Classification (HP)
|
100% |
105
139.9 IPS |
|
|
Text Classification (Q)
|
93% |
105
140.6 IPS |
|
|
Machine Translation (SP)
|
100% |
540
9.31 IPS |
|
|
Machine Translation (HP)
|
100% |
490
8.44 IPS |
|
|
Machine Translation (Q)
|
98% |
492
8.50 IPS |
