iPad Pro 11-inch (2nd generation)
Geekbench AI Score
707
Single Precision Score
2391
Half Precision Score
435
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 27 2025 02:47 PM |
| 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% |
338
62.9 IPS |
|
|
Image Classification (HP)
|
100% |
2099
390.3 IPS |
|
|
Image Classification (Q)
|
99% |
161
30.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
305
4.94 IPS |
|
|
Image Segmentation (HP)
|
100% |
370
5.99 IPS |
|
|
Image Segmentation (Q)
|
99% |
226
3.67 IPS |
|
|
Pose Estimation (SP)
|
100% |
2180
2.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
27296
31.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
1521
1.78 IPS |
|
|
Object Detection (SP)
|
100% |
378
30.0 IPS |
|
|
Object Detection (HP)
|
100% |
1475
117.0 IPS |
|
|
Object Detection (Q)
|
94% |
192
15.3 IPS |
|
|
Face Detection (SP)
|
100% |
842
10.0 IPS |
|
|
Face Detection (HP)
|
100% |
6613
78.6 IPS |
|
|
Face Detection (Q)
|
100% |
300
3.57 IPS |
|
|
Depth Estimation (SP)
|
100% |
1064
8.20 IPS |
|
|
Depth Estimation (HP)
|
99% |
23286
179.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
610
4.76 IPS |
|
|
Style Transfer (SP)
|
100% |
3417
4.39 IPS |
|
|
Style Transfer (HP)
|
100% |
3372
4.34 IPS |
|
|
Style Transfer (Q)
|
96% |
2469
3.19 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
962
35.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3378
124.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
466
17.2 IPS |
|
|
Text Classification (SP)
|
100% |
258
344.5 IPS |
|
|
Text Classification (HP)
|
100% |
297
395.9 IPS |
|
|
Text Classification (Q)
|
93% |
294
395.2 IPS |
|
|
Machine Translation (SP)
|
100% |
487
8.38 IPS |
|
|
Machine Translation (HP)
|
100% |
375
6.46 IPS |
|
|
Machine Translation (Q)
|
98% |
376
6.50 IPS |
