iPad Pro 11-inch (2nd generation)
Geekbench AI Score
708
Single Precision Score
2386
Half Precision Score
438
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | July 19 2025 11:52 PM |
| 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% |
333
61.9 IPS |
|
|
Image Classification (HP)
|
100% |
2165
402.6 IPS |
|
|
Image Classification (Q)
|
99% |
161
30.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
298
4.83 IPS |
|
|
Image Segmentation (HP)
|
100% |
371
6.01 IPS |
|
|
Image Segmentation (Q)
|
99% |
226
3.67 IPS |
|
|
Pose Estimation (SP)
|
100% |
2202
2.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
27250
31.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
1529
1.79 IPS |
|
|
Object Detection (SP)
|
100% |
379
30.1 IPS |
|
|
Object Detection (HP)
|
100% |
1329
105.4 IPS |
|
|
Object Detection (Q)
|
94% |
189
15.0 IPS |
|
|
Face Detection (SP)
|
100% |
851
10.1 IPS |
|
|
Face Detection (HP)
|
100% |
6614
78.6 IPS |
|
|
Face Detection (Q)
|
100% |
301
3.58 IPS |
|
|
Depth Estimation (SP)
|
100% |
1041
8.02 IPS |
|
|
Depth Estimation (HP)
|
99% |
22807
175.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
606
4.73 IPS |
|
|
Style Transfer (SP)
|
100% |
3542
4.55 IPS |
|
|
Style Transfer (HP)
|
100% |
3519
4.52 IPS |
|
|
Style Transfer (Q)
|
96% |
2539
3.28 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
955
35.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3483
128.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
479
17.7 IPS |
|
|
Text Classification (SP)
|
100% |
263
350.6 IPS |
|
|
Text Classification (HP)
|
100% |
295
393.6 IPS |
|
|
Text Classification (Q)
|
93% |
295
395.5 IPS |
|
|
Machine Translation (SP)
|
100% |
489
8.42 IPS |
|
|
Machine Translation (HP)
|
100% |
378
6.52 IPS |
|
|
Machine Translation (Q)
|
98% |
378
6.53 IPS |
