iPad Pro 11-inch (2nd generation)
Geekbench AI Score
1018
Single Precision Score
1554
Half Precision Score
1340
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 01 2025 03:06 AM |
| Views | 3 |
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% |
796
148.0 IPS |
|
|
Image Classification (Q)
|
96% |
622
116.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
609
9.88 IPS |
|
|
Image Segmentation (HP)
|
100% |
957
15.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
1019
16.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2565
2.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
2292
2.67 IPS |
|
|
Pose Estimation (Q)
|
96% |
1975
2.31 IPS |
|
|
Object Detection (SP)
|
100% |
542
43.0 IPS |
|
|
Object Detection (HP)
|
99% |
946
75.0 IPS |
|
|
Object Detection (Q)
|
92% |
755
60.3 IPS |
|
|
Face Detection (SP)
|
100% |
1263
15.0 IPS |
|
|
Face Detection (HP)
|
100% |
2312
27.5 IPS |
|
|
Face Detection (Q)
|
100% |
1479
17.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1762
13.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
2674
20.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
2243
17.5 IPS |
|
|
Style Transfer (SP)
|
100% |
5025
6.46 IPS |
|
|
Style Transfer (HP)
|
100% |
7858
10.1 IPS |
|
|
Style Transfer (Q)
|
96% |
7097
9.16 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1233
45.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1439
53.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1222
45.1 IPS |
|
|
Text Classification (SP)
|
100% |
291
388.2 IPS |
|
|
Text Classification (HP)
|
100% |
565
754.4 IPS |
|
|
Text Classification (Q)
|
93% |
548
735.6 IPS |
|
|
Machine Translation (SP)
|
100% |
727
12.5 IPS |
|
|
Machine Translation (HP)
|
99% |
1263
21.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1259
21.8 IPS |
