iPad Pro 11-inch (2nd generation)
Geekbench AI Score
1019
Single Precision Score
1554
Half Precision Score
1346
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 07 2025 06:02 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12Z Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
791
147.2 IPS |
|
|
Image Classification (Q)
|
96% |
625
116.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
611
9.91 IPS |
|
|
Image Segmentation (HP)
|
100% |
964
15.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
1014
16.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2544
2.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
2279
2.66 IPS |
|
|
Pose Estimation (Q)
|
96% |
2040
2.39 IPS |
|
|
Object Detection (SP)
|
100% |
543
43.1 IPS |
|
|
Object Detection (HP)
|
99% |
944
74.9 IPS |
|
|
Object Detection (Q)
|
92% |
760
60.7 IPS |
|
|
Face Detection (SP)
|
100% |
1271
15.1 IPS |
|
|
Face Detection (HP)
|
100% |
2327
27.7 IPS |
|
|
Face Detection (Q)
|
100% |
1475
17.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1754
13.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
2672
20.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
2235
17.5 IPS |
|
|
Style Transfer (SP)
|
100% |
5060
6.50 IPS |
|
|
Style Transfer (HP)
|
100% |
7860
10.1 IPS |
|
|
Style Transfer (Q)
|
96% |
7070
9.13 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1244
45.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1461
53.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1220
45.1 IPS |
|
|
Text Classification (SP)
|
100% |
291
388.9 IPS |
|
|
Text Classification (HP)
|
100% |
555
741.0 IPS |
|
|
Text Classification (Q)
|
93% |
553
741.5 IPS |
|
|
Machine Translation (SP)
|
100% |
727
12.5 IPS |
|
|
Machine Translation (HP)
|
99% |
1270
21.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1267
21.9 IPS |
