iPad Pro 11-inch (2nd generation)
Geekbench AI Score
711
Single Precision Score
2489
Half Precision Score
449
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | petebu |
| Upload Date | May 17 2025 03:29 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12Z Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
334
62.1 IPS |
|
|
Image Classification (HP)
|
100% |
2587
481.1 IPS |
|
|
Image Classification (Q)
|
99% |
175
32.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
301
4.88 IPS |
|
|
Image Segmentation (HP)
|
100% |
411
6.66 IPS |
|
|
Image Segmentation (Q)
|
99% |
228
3.70 IPS |
|
|
Pose Estimation (SP)
|
100% |
2205
2.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
27286
31.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
1538
1.80 IPS |
|
|
Object Detection (SP)
|
100% |
378
30.0 IPS |
|
|
Object Detection (HP)
|
100% |
1410
111.9 IPS |
|
|
Object Detection (Q)
|
94% |
202
16.1 IPS |
|
|
Face Detection (SP)
|
100% |
850
10.1 IPS |
|
|
Face Detection (HP)
|
100% |
6562
78.0 IPS |
|
|
Face Detection (Q)
|
100% |
302
3.59 IPS |
|
|
Depth Estimation (SP)
|
100% |
1050
8.09 IPS |
|
|
Depth Estimation (HP)
|
99% |
23352
179.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
602
4.70 IPS |
|
|
Style Transfer (SP)
|
100% |
3551
4.56 IPS |
|
|
Style Transfer (HP)
|
100% |
3496
4.49 IPS |
|
|
Style Transfer (Q)
|
96% |
2518
3.25 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
961
35.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3624
133.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
498
18.4 IPS |
|
|
Text Classification (SP)
|
100% |
263
350.4 IPS |
|
|
Text Classification (HP)
|
100% |
303
404.2 IPS |
|
|
Text Classification (Q)
|
93% |
311
416.9 IPS |
|
|
Machine Translation (SP)
|
100% |
496
8.54 IPS |
|
|
Machine Translation (HP)
|
100% |
380
6.55 IPS |
|
|
Machine Translation (Q)
|
98% |
380
6.57 IPS |
