iPad Pro 11-inch (2nd generation)
Geekbench AI Score
1017
Single Precision Score
1559
Half Precision Score
1344
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 19 2025 05:29 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12Z Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| Model | iPad Pro 11-inch (2nd generation) |
| Model ID | iPad8,10 |
| Motherboard | J418AP |
| 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% |
486
90.3 IPS |
|
|
Image Classification (HP)
|
100% |
806
149.9 IPS |
|
|
Image Classification (Q)
|
96% |
628
117.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
609
9.87 IPS |
|
|
Image Segmentation (HP)
|
100% |
983
15.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
1015
16.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2608
3.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
2315
2.70 IPS |
|
|
Pose Estimation (Q)
|
96% |
2083
2.44 IPS |
|
|
Object Detection (SP)
|
100% |
542
43.0 IPS |
|
|
Object Detection (HP)
|
99% |
952
75.5 IPS |
|
|
Object Detection (Q)
|
92% |
763
60.9 IPS |
|
|
Face Detection (SP)
|
100% |
1267
15.1 IPS |
|
|
Face Detection (HP)
|
100% |
2319
27.6 IPS |
|
|
Face Detection (Q)
|
100% |
1477
17.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1750
13.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
2675
20.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
2220
17.3 IPS |
|
|
Style Transfer (SP)
|
100% |
4929
6.34 IPS |
|
|
Style Transfer (HP)
|
100% |
7827
10.1 IPS |
|
|
Style Transfer (Q)
|
96% |
7075
9.13 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1263
46.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1419
52.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1182
43.7 IPS |
|
|
Text Classification (SP)
|
100% |
287
382.5 IPS |
|
|
Text Classification (HP)
|
100% |
560
746.9 IPS |
|
|
Text Classification (Q)
|
93% |
558
748.6 IPS |
|
|
Machine Translation (SP)
|
100% |
717
12.3 IPS |
|
|
Machine Translation (HP)
|
98% |
1267
21.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1248
21.6 IPS |
