iPad Pro 11-inch (2nd generation)
Geekbench AI Score
669
Single Precision Score
836
Half Precision Score
228
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | October 14 2025 03:11 AM |
| 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% |
998
185.7 IPS |
|
|
Image Classification (HP)
|
100% |
1372
255.1 IPS |
|
|
Image Classification (Q)
|
96% |
171
31.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
352
5.70 IPS |
|
|
Image Segmentation (HP)
|
100% |
387
6.27 IPS |
|
|
Image Segmentation (Q)
|
99% |
234
3.80 IPS |
|
|
Pose Estimation (SP)
|
100% |
3185
3.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
4597
5.36 IPS |
|
|
Pose Estimation (Q)
|
96% |
1872
2.19 IPS |
|
|
Object Detection (SP)
|
100% |
990
78.6 IPS |
|
|
Object Detection (HP)
|
100% |
1320
104.7 IPS |
|
|
Object Detection (Q)
|
92% |
199
15.9 IPS |
|
|
Face Detection (SP)
|
100% |
3743
44.5 IPS |
|
|
Face Detection (HP)
|
100% |
4325
51.4 IPS |
|
|
Face Detection (Q)
|
100% |
310
3.69 IPS |
|
|
Depth Estimation (SP)
|
100% |
3173
24.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
4647
35.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
575
4.49 IPS |
|
|
Style Transfer (SP)
|
100% |
8882
11.4 IPS |
|
|
Style Transfer (HP)
|
100% |
10837
13.9 IPS |
|
|
Style Transfer (Q)
|
96% |
3170
4.09 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1542
56.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2246
82.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
423
15.6 IPS |
|
|
Text Classification (SP)
|
100% |
100
134.1 IPS |
|
|
Text Classification (HP)
|
100% |
106
141.0 IPS |
|
|
Text Classification (Q)
|
93% |
107
143.0 IPS |
|
|
Machine Translation (SP)
|
0% |
0
6.07 IPS |
|
|
Machine Translation (HP)
|
0% |
0
5.11 IPS |
|
|
Machine Translation (Q)
|
0% |
0
5.10 IPS |
