iPad Pro 11-inch (2nd generation)
Geekbench AI Score
1021
Single Precision Score
1556
Half Precision Score
1336
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | March 25 2025 10:32 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12Z Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
485
90.2 IPS |
|
|
Image Classification (HP)
|
100% |
803
149.4 IPS |
|
|
Image Classification (Q)
|
96% |
631
117.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
613
9.94 IPS |
|
|
Image Segmentation (HP)
|
100% |
984
16.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
1020
16.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2608
3.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
2327
2.72 IPS |
|
|
Pose Estimation (Q)
|
96% |
1965
2.30 IPS |
|
|
Object Detection (SP)
|
100% |
544
43.2 IPS |
|
|
Object Detection (HP)
|
99% |
957
75.9 IPS |
|
|
Object Detection (Q)
|
92% |
763
60.9 IPS |
|
|
Face Detection (SP)
|
100% |
1272
15.1 IPS |
|
|
Face Detection (HP)
|
100% |
2319
27.5 IPS |
|
|
Face Detection (Q)
|
100% |
1477
17.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1760
13.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
2657
20.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
2229
17.4 IPS |
|
|
Style Transfer (SP)
|
100% |
5073
6.52 IPS |
|
|
Style Transfer (HP)
|
100% |
7846
10.1 IPS |
|
|
Style Transfer (Q)
|
96% |
7052
9.10 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1249
46.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1396
51.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1163
42.9 IPS |
|
|
Text Classification (SP)
|
100% |
288
384.1 IPS |
|
|
Text Classification (HP)
|
100% |
559
745.7 IPS |
|
|
Text Classification (Q)
|
93% |
557
747.3 IPS |
|
|
Machine Translation (SP)
|
100% |
719
12.4 IPS |
|
|
Machine Translation (HP)
|
98% |
1256
21.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1254
21.7 IPS |
