iPad Pro 11-inch (2nd generation)
Geekbench AI Score
1348
Single Precision Score
1691
Half Precision Score
443
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 04 2025 07:27 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
967
179.9 IPS |
|
|
Image Classification (HP)
|
100% |
1359
252.8 IPS |
|
|
Image Classification (Q)
|
96% |
156
29.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
357
5.78 IPS |
|
|
Image Segmentation (HP)
|
100% |
381
6.17 IPS |
|
|
Image Segmentation (Q)
|
99% |
223
3.61 IPS |
|
|
Pose Estimation (SP)
|
100% |
3185
3.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
4597
5.36 IPS |
|
|
Pose Estimation (Q)
|
96% |
1830
2.14 IPS |
|
|
Object Detection (SP)
|
100% |
1000
79.3 IPS |
|
|
Object Detection (HP)
|
100% |
1307
103.7 IPS |
|
|
Object Detection (Q)
|
92% |
178
14.2 IPS |
|
|
Face Detection (SP)
|
100% |
3641
43.3 IPS |
|
|
Face Detection (HP)
|
100% |
4317
51.3 IPS |
|
|
Face Detection (Q)
|
100% |
295
3.50 IPS |
|
|
Depth Estimation (SP)
|
100% |
3173
24.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
4734
36.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
551
4.30 IPS |
|
|
Style Transfer (SP)
|
100% |
8883
11.4 IPS |
|
|
Style Transfer (HP)
|
100% |
10827
13.9 IPS |
|
|
Style Transfer (Q)
|
96% |
3053
3.94 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1539
56.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2249
83.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
398
14.7 IPS |
|
|
Text Classification (SP)
|
100% |
216
288.6 IPS |
|
|
Text Classification (HP)
|
100% |
255
341.0 IPS |
|
|
Text Classification (Q)
|
93% |
264
353.8 IPS |
|
|
Machine Translation (SP)
|
100% |
531
9.15 IPS |
|
|
Machine Translation (HP)
|
100% |
485
8.36 IPS |
|
|
Machine Translation (Q)
|
98% |
495
8.55 IPS |
