iPad Pro 11-inch (2nd generation)
Geekbench AI Score
707
Single Precision Score
2363
Half Precision Score
432
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 01 2025 03:18 AM |
| Views | 3 |
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
62.7 IPS |
|
|
Image Classification (HP)
|
100% |
2082
387.1 IPS |
|
|
Image Classification (Q)
|
99% |
156
29.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
303
4.91 IPS |
|
|
Image Segmentation (HP)
|
100% |
388
6.29 IPS |
|
|
Image Segmentation (Q)
|
99% |
226
3.66 IPS |
|
|
Pose Estimation (SP)
|
100% |
2183
2.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
27244
31.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
1511
1.77 IPS |
|
|
Object Detection (SP)
|
100% |
378
30.0 IPS |
|
|
Object Detection (HP)
|
100% |
1329
105.4 IPS |
|
|
Object Detection (Q)
|
94% |
185
14.8 IPS |
|
|
Face Detection (SP)
|
100% |
845
10.0 IPS |
|
|
Face Detection (HP)
|
100% |
6416
76.2 IPS |
|
|
Face Detection (Q)
|
100% |
301
3.57 IPS |
|
|
Depth Estimation (SP)
|
100% |
1046
8.06 IPS |
|
|
Depth Estimation (HP)
|
99% |
23151
178.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
597
4.67 IPS |
|
|
Style Transfer (SP)
|
100% |
3523
4.53 IPS |
|
|
Style Transfer (HP)
|
100% |
3451
4.44 IPS |
|
|
Style Transfer (Q)
|
96% |
2504
3.23 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
954
35.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3247
119.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
467
17.2 IPS |
|
|
Text Classification (SP)
|
100% |
257
343.3 IPS |
|
|
Text Classification (HP)
|
100% |
297
396.6 IPS |
|
|
Text Classification (Q)
|
93% |
296
397.1 IPS |
|
|
Machine Translation (SP)
|
100% |
486
8.38 IPS |
|
|
Machine Translation (HP)
|
100% |
376
6.47 IPS |
|
|
Machine Translation (Q)
|
98% |
374
6.47 IPS |
