iPad Pro 11-inch (2nd generation)
Geekbench AI Score
711
Single Precision Score
2446
Half Precision Score
446
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | March 25 2025 10:44 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12Z Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
332
61.8 IPS |
|
|
Image Classification (HP)
|
100% |
2257
419.7 IPS |
|
|
Image Classification (Q)
|
99% |
175
32.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
299
4.85 IPS |
|
|
Image Segmentation (HP)
|
100% |
398
6.45 IPS |
|
|
Image Segmentation (Q)
|
99% |
226
3.67 IPS |
|
|
Pose Estimation (SP)
|
100% |
2223
2.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
27369
31.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
1535
1.80 IPS |
|
|
Object Detection (SP)
|
100% |
379
30.0 IPS |
|
|
Object Detection (HP)
|
100% |
1393
110.5 IPS |
|
|
Object Detection (Q)
|
94% |
201
16.0 IPS |
|
|
Face Detection (SP)
|
100% |
849
10.1 IPS |
|
|
Face Detection (HP)
|
100% |
6523
77.5 IPS |
|
|
Face Detection (Q)
|
100% |
302
3.59 IPS |
|
|
Depth Estimation (SP)
|
100% |
1047
8.07 IPS |
|
|
Depth Estimation (HP)
|
99% |
23180
178.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
601
4.70 IPS |
|
|
Style Transfer (SP)
|
100% |
3578
4.60 IPS |
|
|
Style Transfer (HP)
|
100% |
3529
4.54 IPS |
|
|
Style Transfer (Q)
|
96% |
2515
3.25 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
964
35.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3663
135.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
497
18.3 IPS |
|
|
Text Classification (SP)
|
100% |
262
350.0 IPS |
|
|
Text Classification (HP)
|
100% |
301
401.5 IPS |
|
|
Text Classification (Q)
|
93% |
300
402.5 IPS |
|
|
Machine Translation (SP)
|
100% |
497
8.56 IPS |
|
|
Machine Translation (HP)
|
100% |
381
6.56 IPS |
|
|
Machine Translation (Q)
|
98% |
380
6.56 IPS |
