iPad Pro 11-inch (2nd generation)
Geekbench AI Score
1359
Single Precision Score
1676
Half Precision Score
442
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 25 2025 04:09 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A12Z Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| Model | iPad Pro 11-inch (2nd generation) |
| Model ID | iPad8,9 |
| Motherboard | J417AP |
| 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% |
1013
188.4 IPS |
|
|
Image Classification (HP)
|
100% |
1251
232.6 IPS |
|
|
Image Classification (Q)
|
96% |
154
28.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
374
6.07 IPS |
|
|
Image Segmentation (HP)
|
100% |
379
6.15 IPS |
|
|
Image Segmentation (Q)
|
99% |
224
3.63 IPS |
|
|
Pose Estimation (SP)
|
100% |
3181
3.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
4672
5.45 IPS |
|
|
Pose Estimation (Q)
|
96% |
1845
2.16 IPS |
|
|
Object Detection (SP)
|
100% |
1003
79.6 IPS |
|
|
Object Detection (HP)
|
100% |
1360
107.9 IPS |
|
|
Object Detection (Q)
|
92% |
184
14.7 IPS |
|
|
Face Detection (SP)
|
100% |
3690
43.8 IPS |
|
|
Face Detection (HP)
|
100% |
4191
49.8 IPS |
|
|
Face Detection (Q)
|
100% |
297
3.53 IPS |
|
|
Depth Estimation (SP)
|
100% |
3166
24.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
4729
36.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
553
4.32 IPS |
|
|
Style Transfer (SP)
|
100% |
8869
11.4 IPS |
|
|
Style Transfer (HP)
|
100% |
10720
13.8 IPS |
|
|
Style Transfer (Q)
|
96% |
3046
3.93 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1525
56.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2221
82.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
399
14.7 IPS |
|
|
Text Classification (SP)
|
100% |
221
295.0 IPS |
|
|
Text Classification (HP)
|
100% |
264
352.6 IPS |
|
|
Text Classification (Q)
|
93% |
263
353.5 IPS |
|
|
Machine Translation (SP)
|
100% |
510
8.78 IPS |
|
|
Machine Translation (HP)
|
100% |
467
8.04 IPS |
|
|
Machine Translation (Q)
|
98% |
463
8.00 IPS |
