iPad Pro 11-inch (2nd generation)
Geekbench AI Score
1272
Single Precision Score
1532
Half Precision Score
425
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 30 2025 02:00 PM |
| Views | 4 |
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% |
997
185.4 IPS |
|
|
Image Classification (HP)
|
100% |
1215
226.0 IPS |
|
|
Image Classification (Q)
|
96% |
171
32.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
367
5.94 IPS |
|
|
Image Segmentation (HP)
|
100% |
382
6.19 IPS |
|
|
Image Segmentation (Q)
|
99% |
237
3.84 IPS |
|
|
Pose Estimation (SP)
|
100% |
3184
3.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
4673
5.45 IPS |
|
|
Pose Estimation (Q)
|
96% |
1945
2.28 IPS |
|
|
Object Detection (SP)
|
100% |
1002
79.5 IPS |
|
|
Object Detection (HP)
|
100% |
1360
107.9 IPS |
|
|
Object Detection (Q)
|
92% |
202
16.1 IPS |
|
|
Face Detection (SP)
|
100% |
3746
44.5 IPS |
|
|
Face Detection (HP)
|
100% |
4336
51.5 IPS |
|
|
Face Detection (Q)
|
100% |
312
3.71 IPS |
|
|
Depth Estimation (SP)
|
100% |
3287
25.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4644
35.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
575
4.49 IPS |
|
|
Style Transfer (SP)
|
100% |
8888
11.4 IPS |
|
|
Style Transfer (HP)
|
100% |
10818
13.9 IPS |
|
|
Style Transfer (Q)
|
96% |
3188
4.11 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1545
57.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2242
82.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
423
15.6 IPS |
|
|
Text Classification (SP)
|
100% |
105
140.1 IPS |
|
|
Text Classification (HP)
|
100% |
103
138.0 IPS |
|
|
Text Classification (Q)
|
93% |
105
140.3 IPS |
|
|
Machine Translation (SP)
|
100% |
536
9.23 IPS |
|
|
Machine Translation (HP)
|
100% |
482
8.30 IPS |
|
|
Machine Translation (Q)
|
98% |
483
8.35 IPS |
