iPad Pro 11-inch (2nd generation)
Geekbench AI Score
1070
Single Precision Score
1635
Half Precision Score
1422
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | March 08 2026 08:47 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12Z Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.4 |
| 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% |
486
90.3 IPS |
|
|
Image Classification (HP)
|
100% |
792
147.3 IPS |
|
|
Image Classification (Q)
|
96% |
647
120.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
604
9.78 IPS |
|
|
Image Segmentation (HP)
|
100% |
978
15.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
1022
16.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2558
2.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
2344
2.74 IPS |
|
|
Pose Estimation (Q)
|
96% |
2227
2.61 IPS |
|
|
Object Detection (SP)
|
100% |
545
43.2 IPS |
|
|
Object Detection (HP)
|
99% |
955
75.7 IPS |
|
|
Object Detection (Q)
|
92% |
757
60.5 IPS |
|
|
Face Detection (SP)
|
100% |
1277
15.2 IPS |
|
|
Face Detection (HP)
|
100% |
2354
28.0 IPS |
|
|
Face Detection (Q)
|
100% |
1490
17.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1761
13.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
2679
20.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
2228
17.4 IPS |
|
|
Style Transfer (SP)
|
100% |
5038
6.48 IPS |
|
|
Style Transfer (HP)
|
100% |
7932
10.2 IPS |
|
|
Style Transfer (Q)
|
96% |
7114
9.18 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1274
47.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1442
53.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1193
44.1 IPS |
|
|
Text Classification (SP)
|
99% |
464
619.6 IPS |
|
|
Text Classification (HP)
|
99% |
866
1.16 KIPS |
|
|
Text Classification (Q)
|
92% |
860
1.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
720
12.4 IPS |
|
|
Machine Translation (HP)
|
99% |
1261
21.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1254
21.7 IPS |
