iPad Pro 11-inch (2nd generation)
Geekbench AI Score
526
Single Precision Score
2033
Half Precision Score
367
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Yearcakes |
| Upload Date | February 10 2025 04:38 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12Z Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2.1 |
| 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% |
2190
407.3 IPS |
|
|
Image Classification (Q)
|
99% |
165
30.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
262
4.24 IPS |
|
|
Image Segmentation (HP)
|
100% |
392
6.36 IPS |
|
|
Image Segmentation (Q)
|
99% |
194
3.14 IPS |
|
|
Pose Estimation (SP)
|
100% |
1320
1.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
22063
25.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
950
1.11 IPS |
|
|
Object Detection (SP)
|
100% |
268
21.3 IPS |
|
|
Object Detection (HP)
|
100% |
1389
110.2 IPS |
|
|
Object Detection (Q)
|
94% |
191
15.2 IPS |
|
|
Face Detection (SP)
|
100% |
626
7.43 IPS |
|
|
Face Detection (HP)
|
100% |
6101
72.5 IPS |
|
|
Face Detection (Q)
|
100% |
257
3.05 IPS |
|
|
Depth Estimation (SP)
|
100% |
743
5.72 IPS |
|
|
Depth Estimation (HP)
|
99% |
16285
125.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
482
3.76 IPS |
|
|
Style Transfer (SP)
|
100% |
1957
2.52 IPS |
|
|
Style Transfer (HP)
|
100% |
1885
2.42 IPS |
|
|
Style Transfer (Q)
|
96% |
1523
1.97 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
610
22.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2803
103.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
473
17.5 IPS |
|
|
Text Classification (SP)
|
100% |
236
314.4 IPS |
|
|
Text Classification (HP)
|
100% |
278
370.5 IPS |
|
|
Text Classification (Q)
|
93% |
276
370.1 IPS |
|
|
Machine Translation (SP)
|
100% |
400
6.88 IPS |
|
|
Machine Translation (HP)
|
100% |
315
5.43 IPS |
|
|
Machine Translation (Q)
|
98% |
310
5.37 IPS |
