iPad Pro 11-inch (2nd generation)
Geekbench AI Score
1021
Single Precision Score
1555
Half Precision Score
1346
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 21 2025 01:21 AM |
| 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% |
487
90.6 IPS |
|
|
Image Classification (HP)
|
100% |
802
149.2 IPS |
|
|
Image Classification (Q)
|
96% |
621
116.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
612
9.92 IPS |
|
|
Image Segmentation (HP)
|
100% |
960
15.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
1017
16.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2622
3.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
2350
2.74 IPS |
|
|
Pose Estimation (Q)
|
96% |
2200
2.58 IPS |
|
|
Object Detection (SP)
|
100% |
544
43.1 IPS |
|
|
Object Detection (HP)
|
99% |
947
75.1 IPS |
|
|
Object Detection (Q)
|
92% |
759
60.6 IPS |
|
|
Face Detection (SP)
|
100% |
1262
15.0 IPS |
|
|
Face Detection (HP)
|
100% |
2311
27.5 IPS |
|
|
Face Detection (Q)
|
100% |
1472
17.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1756
13.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
2705
20.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
2227
17.4 IPS |
|
|
Style Transfer (SP)
|
100% |
5097
6.55 IPS |
|
|
Style Transfer (HP)
|
100% |
7892
10.1 IPS |
|
|
Style Transfer (Q)
|
96% |
7051
9.10 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1239
45.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1386
51.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1160
42.8 IPS |
|
|
Text Classification (SP)
|
100% |
288
384.9 IPS |
|
|
Text Classification (HP)
|
100% |
556
742.3 IPS |
|
|
Text Classification (Q)
|
93% |
551
739.2 IPS |
|
|
Machine Translation (SP)
|
100% |
719
12.4 IPS |
|
|
Machine Translation (HP)
|
99% |
1272
21.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1262
21.8 IPS |
