iPad Pro 11-inch (2nd generation)
Geekbench AI Score
614
Single Precision Score
2128
Half Precision Score
393
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 27 2025 01:54 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
340
63.2 IPS |
|
|
Image Classification (HP)
|
100% |
2260
420.3 IPS |
|
|
Image Classification (Q)
|
99% |
163
30.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
299
4.85 IPS |
|
|
Image Segmentation (HP)
|
100% |
383
6.21 IPS |
|
|
Image Segmentation (Q)
|
99% |
225
3.64 IPS |
|
|
Pose Estimation (SP)
|
100% |
2163
2.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
27380
31.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
1509
1.77 IPS |
|
|
Object Detection (SP)
|
100% |
377
29.9 IPS |
|
|
Object Detection (HP)
|
100% |
1320
104.7 IPS |
|
|
Object Detection (Q)
|
94% |
185
14.8 IPS |
|
|
Face Detection (SP)
|
100% |
839
9.97 IPS |
|
|
Face Detection (HP)
|
100% |
6327
75.2 IPS |
|
|
Face Detection (Q)
|
100% |
273
3.25 IPS |
|
|
Depth Estimation (SP)
|
100% |
824
6.35 IPS |
|
|
Depth Estimation (HP)
|
99% |
18188
140.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
499
3.90 IPS |
|
|
Style Transfer (SP)
|
100% |
2165
2.78 IPS |
|
|
Style Transfer (HP)
|
100% |
2489
3.20 IPS |
|
|
Style Transfer (Q)
|
96% |
2114
2.73 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
715
26.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2733
100.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
448
16.6 IPS |
|
|
Text Classification (SP)
|
100% |
200
266.6 IPS |
|
|
Text Classification (HP)
|
100% |
230
306.8 IPS |
|
|
Text Classification (Q)
|
93% |
231
309.4 IPS |
|
|
Machine Translation (SP)
|
100% |
436
7.51 IPS |
|
|
Machine Translation (HP)
|
100% |
339
5.84 IPS |
|
|
Machine Translation (Q)
|
98% |
291
5.03 IPS |
