iPad Pro 11-inch (2nd generation)
Geekbench AI Score
1023
Single Precision Score
1566
Half Precision Score
1357
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 30 2024 11:14 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12Z Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
488
90.7 IPS |
|
|
Image Classification (HP)
|
100% |
803
149.3 IPS |
|
|
Image Classification (Q)
|
96% |
631
117.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
621
10.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
990
16.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
1027
16.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2620
3.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
2351
2.74 IPS |
|
|
Pose Estimation (Q)
|
96% |
2219
2.60 IPS |
|
|
Object Detection (SP)
|
100% |
546
43.3 IPS |
|
|
Object Detection (HP)
|
99% |
950
75.3 IPS |
|
|
Object Detection (Q)
|
92% |
769
61.4 IPS |
|
|
Face Detection (SP)
|
100% |
1280
15.2 IPS |
|
|
Face Detection (HP)
|
100% |
2348
27.9 IPS |
|
|
Face Detection (Q)
|
100% |
1488
17.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1745
13.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
2721
21.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
2221
17.4 IPS |
|
|
Style Transfer (SP)
|
100% |
5206
6.69 IPS |
|
|
Style Transfer (HP)
|
100% |
7927
10.2 IPS |
|
|
Style Transfer (Q)
|
96% |
7095
9.16 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1212
44.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1424
52.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1189
43.9 IPS |
|
|
Text Classification (SP)
|
100% |
285
380.2 IPS |
|
|
Text Classification (HP)
|
99% |
551
735.0 IPS |
|
|
Text Classification (Q)
|
93% |
547
734.0 IPS |
|
|
Machine Translation (SP)
|
100% |
726
12.5 IPS |
|
|
Machine Translation (HP)
|
98% |
1262
21.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1258
21.7 IPS |
