iPad Pro 11-inch (2nd generation)
Geekbench AI Score
709
Single Precision Score
2356
Half Precision Score
433
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 04 2025 03:42 AM |
| Views | 7 |
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% |
337
62.6 IPS |
|
|
Image Classification (HP)
|
100% |
2068
384.6 IPS |
|
|
Image Classification (Q)
|
99% |
157
29.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
301
4.88 IPS |
|
|
Image Segmentation (HP)
|
100% |
366
5.94 IPS |
|
|
Image Segmentation (Q)
|
99% |
225
3.65 IPS |
|
|
Pose Estimation (SP)
|
100% |
2191
2.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
27253
31.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
1527
1.79 IPS |
|
|
Object Detection (SP)
|
100% |
377
29.9 IPS |
|
|
Object Detection (HP)
|
100% |
1315
104.3 IPS |
|
|
Object Detection (Q)
|
94% |
184
14.7 IPS |
|
|
Face Detection (SP)
|
100% |
848
10.1 IPS |
|
|
Face Detection (HP)
|
100% |
6529
77.6 IPS |
|
|
Face Detection (Q)
|
100% |
301
3.58 IPS |
|
|
Depth Estimation (SP)
|
100% |
1048
8.07 IPS |
|
|
Depth Estimation (HP)
|
99% |
23193
178.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
599
4.68 IPS |
|
|
Style Transfer (SP)
|
100% |
3581
4.60 IPS |
|
|
Style Transfer (HP)
|
100% |
3523
4.53 IPS |
|
|
Style Transfer (Q)
|
96% |
2546
3.29 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
955
35.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3274
120.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
463
17.1 IPS |
|
|
Text Classification (SP)
|
100% |
259
345.8 IPS |
|
|
Text Classification (HP)
|
100% |
297
396.6 IPS |
|
|
Text Classification (Q)
|
93% |
296
397.3 IPS |
|
|
Machine Translation (SP)
|
100% |
488
8.41 IPS |
|
|
Machine Translation (HP)
|
100% |
375
6.46 IPS |
|
|
Machine Translation (Q)
|
98% |
374
6.47 IPS |
