iPad Pro 11-inch (2nd generation)
Geekbench AI Score
1018
Single Precision Score
1565
Half Precision Score
1347
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 07 2025 07:34 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% |
487
90.5 IPS |
|
|
Image Classification (HP)
|
100% |
812
151.0 IPS |
|
|
Image Classification (Q)
|
96% |
635
118.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
613
9.93 IPS |
|
|
Image Segmentation (HP)
|
100% |
974
15.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1024
16.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2594
3.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
2320
2.71 IPS |
|
|
Pose Estimation (Q)
|
96% |
2035
2.38 IPS |
|
|
Object Detection (SP)
|
100% |
542
43.0 IPS |
|
|
Object Detection (HP)
|
99% |
960
76.1 IPS |
|
|
Object Detection (Q)
|
92% |
773
61.7 IPS |
|
|
Face Detection (SP)
|
100% |
1252
14.9 IPS |
|
|
Face Detection (HP)
|
100% |
2345
27.9 IPS |
|
|
Face Detection (Q)
|
100% |
1478
17.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1739
13.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
2692
20.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
2243
17.5 IPS |
|
|
Style Transfer (SP)
|
100% |
5099
6.56 IPS |
|
|
Style Transfer (HP)
|
100% |
7904
10.2 IPS |
|
|
Style Transfer (Q)
|
96% |
7070
9.12 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1254
46.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1437
53.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1180
43.6 IPS |
|
|
Text Classification (SP)
|
100% |
286
381.7 IPS |
|
|
Text Classification (HP)
|
100% |
557
743.7 IPS |
|
|
Text Classification (Q)
|
93% |
554
744.0 IPS |
|
|
Machine Translation (SP)
|
100% |
719
12.4 IPS |
|
|
Machine Translation (HP)
|
98% |
1255
21.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1256
21.7 IPS |
