iPad Pro 11-inch (2nd generation)
Geekbench AI Score
712
Single Precision Score
2439
Half Precision Score
445
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Kokkinho |
| Upload Date | April 30 2025 04:33 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12Z Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
333
61.9 IPS |
|
|
Image Classification (HP)
|
100% |
2217
412.4 IPS |
|
|
Image Classification (Q)
|
99% |
169
31.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
301
4.88 IPS |
|
|
Image Segmentation (HP)
|
100% |
395
6.41 IPS |
|
|
Image Segmentation (Q)
|
99% |
226
3.66 IPS |
|
|
Pose Estimation (SP)
|
100% |
2231
2.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
27439
32.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
1539
1.80 IPS |
|
|
Object Detection (SP)
|
100% |
382
30.3 IPS |
|
|
Object Detection (HP)
|
100% |
1392
110.4 IPS |
|
|
Object Detection (Q)
|
94% |
201
16.0 IPS |
|
|
Face Detection (SP)
|
100% |
849
10.1 IPS |
|
|
Face Detection (HP)
|
100% |
6565
78.0 IPS |
|
|
Face Detection (Q)
|
100% |
302
3.59 IPS |
|
|
Depth Estimation (SP)
|
100% |
1051
8.10 IPS |
|
|
Depth Estimation (HP)
|
99% |
23008
177.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
602
4.70 IPS |
|
|
Style Transfer (SP)
|
100% |
3561
4.58 IPS |
|
|
Style Transfer (HP)
|
100% |
3522
4.53 IPS |
|
|
Style Transfer (Q)
|
96% |
2537
3.27 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
962
35.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3639
134.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
496
18.3 IPS |
|
|
Text Classification (SP)
|
100% |
262
349.7 IPS |
|
|
Text Classification (HP)
|
100% |
302
403.5 IPS |
|
|
Text Classification (Q)
|
93% |
300
402.1 IPS |
|
|
Machine Translation (SP)
|
100% |
495
8.53 IPS |
|
|
Machine Translation (HP)
|
100% |
382
6.58 IPS |
|
|
Machine Translation (Q)
|
98% |
381
6.58 IPS |
