iPad Pro 11-inch (2nd generation)
Geekbench AI Score
709
Single Precision Score
2369
Half Precision Score
429
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 28 2025 01:43 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% |
336
62.5 IPS |
|
|
Image Classification (HP)
|
100% |
2103
391.1 IPS |
|
|
Image Classification (Q)
|
99% |
157
29.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
304
4.93 IPS |
|
|
Image Segmentation (HP)
|
100% |
367
5.94 IPS |
|
|
Image Segmentation (Q)
|
99% |
226
3.67 IPS |
|
|
Pose Estimation (SP)
|
100% |
2193
2.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
27262
31.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
1523
1.79 IPS |
|
|
Object Detection (SP)
|
100% |
378
30.0 IPS |
|
|
Object Detection (HP)
|
100% |
1379
109.4 IPS |
|
|
Object Detection (Q)
|
94% |
186
14.8 IPS |
|
|
Face Detection (SP)
|
100% |
849
10.1 IPS |
|
|
Face Detection (HP)
|
100% |
6500
77.2 IPS |
|
|
Face Detection (Q)
|
100% |
301
3.57 IPS |
|
|
Depth Estimation (SP)
|
100% |
1047
8.07 IPS |
|
|
Depth Estimation (HP)
|
99% |
23126
178.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
598
4.67 IPS |
|
|
Style Transfer (SP)
|
100% |
3565
4.58 IPS |
|
|
Style Transfer (HP)
|
100% |
3515
4.52 IPS |
|
|
Style Transfer (Q)
|
96% |
2261
2.92 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
949
35.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3247
119.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
470
17.4 IPS |
|
|
Text Classification (SP)
|
100% |
260
346.6 IPS |
|
|
Text Classification (HP)
|
100% |
298
398.2 IPS |
|
|
Text Classification (Q)
|
93% |
296
397.1 IPS |
|
|
Machine Translation (SP)
|
100% |
489
8.42 IPS |
|
|
Machine Translation (HP)
|
100% |
376
6.48 IPS |
|
|
Machine Translation (Q)
|
98% |
375
6.47 IPS |
