iPad Pro 11-inch (2nd generation)
Geekbench AI Score
1023
Single Precision Score
1551
Half Precision Score
1345
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 04 2025 07:22 PM |
| Views | 4 |
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% |
492
91.5 IPS |
|
|
Image Classification (HP)
|
100% |
798
148.4 IPS |
|
|
Image Classification (Q)
|
96% |
623
116.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
609
9.87 IPS |
|
|
Image Segmentation (HP)
|
100% |
957
15.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
1024
16.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2612
3.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
2314
2.70 IPS |
|
|
Pose Estimation (Q)
|
96% |
2115
2.48 IPS |
|
|
Object Detection (SP)
|
100% |
544
43.2 IPS |
|
|
Object Detection (HP)
|
99% |
946
75.0 IPS |
|
|
Object Detection (Q)
|
92% |
755
60.2 IPS |
|
|
Face Detection (SP)
|
100% |
1264
15.0 IPS |
|
|
Face Detection (HP)
|
100% |
2320
27.6 IPS |
|
|
Face Detection (Q)
|
100% |
1480
17.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1759
13.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
2678
20.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
2233
17.4 IPS |
|
|
Style Transfer (SP)
|
100% |
5111
6.57 IPS |
|
|
Style Transfer (HP)
|
100% |
7863
10.1 IPS |
|
|
Style Transfer (Q)
|
96% |
7125
9.20 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1253
46.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1410
52.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1169
43.2 IPS |
|
|
Text Classification (SP)
|
100% |
290
386.9 IPS |
|
|
Text Classification (HP)
|
100% |
557
743.4 IPS |
|
|
Text Classification (Q)
|
93% |
552
740.3 IPS |
|
|
Machine Translation (SP)
|
100% |
718
12.4 IPS |
|
|
Machine Translation (HP)
|
99% |
1259
21.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1254
21.7 IPS |
