iPad Pro 11-inch (2nd generation)
Geekbench AI Score
1347
Single Precision Score
1672
Half Precision Score
442
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | May 31 2025 07:22 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A12Z Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1005
186.8 IPS |
|
|
Image Classification (HP)
|
100% |
1267
235.7 IPS |
|
|
Image Classification (Q)
|
96% |
160
29.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
351
5.69 IPS |
|
|
Image Segmentation (HP)
|
100% |
382
6.19 IPS |
|
|
Image Segmentation (Q)
|
99% |
224
3.63 IPS |
|
|
Pose Estimation (SP)
|
100% |
3185
3.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
4593
5.36 IPS |
|
|
Pose Estimation (Q)
|
96% |
1831
2.14 IPS |
|
|
Object Detection (SP)
|
100% |
992
78.7 IPS |
|
|
Object Detection (HP)
|
100% |
1315
104.3 IPS |
|
|
Object Detection (Q)
|
92% |
178
14.2 IPS |
|
|
Face Detection (SP)
|
100% |
3663
43.5 IPS |
|
|
Face Detection (HP)
|
100% |
4180
49.7 IPS |
|
|
Face Detection (Q)
|
100% |
300
3.56 IPS |
|
|
Depth Estimation (SP)
|
100% |
3193
24.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
4756
36.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
551
4.31 IPS |
|
|
Style Transfer (SP)
|
100% |
8850
11.4 IPS |
|
|
Style Transfer (HP)
|
100% |
10716
13.8 IPS |
|
|
Style Transfer (Q)
|
96% |
3056
3.94 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1554
57.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2240
82.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
399
14.7 IPS |
|
|
Text Classification (SP)
|
100% |
217
289.9 IPS |
|
|
Text Classification (HP)
|
100% |
264
352.3 IPS |
|
|
Text Classification (Q)
|
93% |
263
352.9 IPS |
|
|
Machine Translation (SP)
|
100% |
508
8.75 IPS |
|
|
Machine Translation (HP)
|
100% |
466
8.03 IPS |
|
|
Machine Translation (Q)
|
98% |
468
8.08 IPS |
