iPad Pro 11-inch (2nd generation)
Geekbench AI Score
1351
Single Precision Score
1671
Half Precision Score
440
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 08 2025 06:11 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A12Z Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1008
187.4 IPS |
|
|
Image Classification (HP)
|
100% |
1308
243.3 IPS |
|
|
Image Classification (Q)
|
96% |
154
28.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
352
5.71 IPS |
|
|
Image Segmentation (HP)
|
100% |
371
6.01 IPS |
|
|
Image Segmentation (Q)
|
99% |
225
3.64 IPS |
|
|
Pose Estimation (SP)
|
100% |
3181
3.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
4584
5.35 IPS |
|
|
Pose Estimation (Q)
|
96% |
1808
2.12 IPS |
|
|
Object Detection (SP)
|
100% |
1004
79.6 IPS |
|
|
Object Detection (HP)
|
100% |
1317
104.4 IPS |
|
|
Object Detection (Q)
|
92% |
179
14.3 IPS |
|
|
Face Detection (SP)
|
100% |
3653
43.4 IPS |
|
|
Face Detection (HP)
|
100% |
4158
49.4 IPS |
|
|
Face Detection (Q)
|
100% |
297
3.53 IPS |
|
|
Depth Estimation (SP)
|
100% |
3254
25.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
4707
36.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
551
4.30 IPS |
|
|
Style Transfer (SP)
|
100% |
8862
11.4 IPS |
|
|
Style Transfer (HP)
|
100% |
10712
13.8 IPS |
|
|
Style Transfer (Q)
|
96% |
3016
3.89 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1544
57.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2233
82.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
398
14.7 IPS |
|
|
Text Classification (SP)
|
100% |
218
291.5 IPS |
|
|
Text Classification (HP)
|
100% |
266
355.2 IPS |
|
|
Text Classification (Q)
|
93% |
264
353.8 IPS |
|
|
Machine Translation (SP)
|
100% |
507
8.74 IPS |
|
|
Machine Translation (HP)
|
100% |
466
8.02 IPS |
|
|
Machine Translation (Q)
|
98% |
471
8.14 IPS |
