iPad Pro 11-inch (2nd generation)
Geekbench AI Score
1360
Single Precision Score
1690
Half Precision Score
444
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 24 2025 06:10 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1000
185.9 IPS |
|
|
Image Classification (HP)
|
100% |
1354
251.7 IPS |
|
|
Image Classification (Q)
|
96% |
153
28.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
372
6.04 IPS |
|
|
Image Segmentation (HP)
|
100% |
385
6.24 IPS |
|
|
Image Segmentation (Q)
|
99% |
231
3.74 IPS |
|
|
Pose Estimation (SP)
|
100% |
3184
3.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
4598
5.36 IPS |
|
|
Pose Estimation (Q)
|
96% |
1862
2.18 IPS |
|
|
Object Detection (SP)
|
100% |
1003
79.5 IPS |
|
|
Object Detection (HP)
|
100% |
1316
104.4 IPS |
|
|
Object Detection (Q)
|
92% |
178
14.2 IPS |
|
|
Face Detection (SP)
|
100% |
3654
43.4 IPS |
|
|
Face Detection (HP)
|
100% |
4269
50.7 IPS |
|
|
Face Detection (Q)
|
100% |
304
3.61 IPS |
|
|
Depth Estimation (SP)
|
100% |
3164
24.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
4656
35.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
551
4.30 IPS |
|
|
Style Transfer (SP)
|
100% |
8909
11.5 IPS |
|
|
Style Transfer (HP)
|
100% |
10829
13.9 IPS |
|
|
Style Transfer (Q)
|
96% |
3088
3.99 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1541
56.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2227
82.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
398
14.7 IPS |
|
|
Text Classification (SP)
|
100% |
214
286.2 IPS |
|
|
Text Classification (HP)
|
100% |
259
346.2 IPS |
|
|
Text Classification (Q)
|
93% |
260
348.6 IPS |
|
|
Machine Translation (SP)
|
100% |
537
9.25 IPS |
|
|
Machine Translation (HP)
|
100% |
487
8.38 IPS |
|
|
Machine Translation (Q)
|
98% |
483
8.35 IPS |
