S iPad Pro iPad Pro 11-inch (2nd generation)
Geekbench AI Score
1296
Single Precision Score
1580
Half Precision Score
420
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ERTIS |
| Upload Date | March 18 2025 12:27 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A12Z Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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% |
1001
186.1 IPS |
|
|
Image Classification (HP)
|
100% |
1173
218.2 IPS |
|
|
Image Classification (Q)
|
96% |
154
28.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
358
5.80 IPS |
|
|
Image Segmentation (HP)
|
100% |
375
6.08 IPS |
|
|
Image Segmentation (Q)
|
99% |
224
3.63 IPS |
|
|
Pose Estimation (SP)
|
100% |
3183
3.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
4593
5.36 IPS |
|
|
Pose Estimation (Q)
|
96% |
1828
2.14 IPS |
|
|
Object Detection (SP)
|
100% |
1018
80.8 IPS |
|
|
Object Detection (HP)
|
100% |
1320
104.7 IPS |
|
|
Object Detection (Q)
|
92% |
179
14.3 IPS |
|
|
Face Detection (SP)
|
100% |
3710
44.1 IPS |
|
|
Face Detection (HP)
|
100% |
4250
50.5 IPS |
|
|
Face Detection (Q)
|
100% |
297
3.52 IPS |
|
|
Depth Estimation (SP)
|
100% |
3146
24.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
4739
36.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
552
4.31 IPS |
|
|
Style Transfer (SP)
|
100% |
8854
11.4 IPS |
|
|
Style Transfer (HP)
|
100% |
10682
13.7 IPS |
|
|
Style Transfer (Q)
|
96% |
3054
3.94 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1585
58.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2233
82.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
399
14.7 IPS |
|
|
Text Classification (SP)
|
100% |
218
290.6 IPS |
|
|
Text Classification (HP)
|
100% |
262
349.8 IPS |
|
|
Text Classification (Q)
|
93% |
260
349.4 IPS |
|
|
Machine Translation (SP)
|
100% |
323
5.56 IPS |
|
|
Machine Translation (HP)
|
100% |
290
4.99 IPS |
|
|
Machine Translation (Q)
|
98% |
292
5.05 IPS |
