iPad Pro 11-inch (2nd generation)
Geekbench AI Score
1295
Single Precision Score
1593
Half Precision Score
423
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | December 21 2024 12:35 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A12Z Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
985
183.2 IPS |
|
|
Image Classification (HP)
|
100% |
1230
228.7 IPS |
|
|
Image Classification (Q)
|
96% |
162
30.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
365
5.91 IPS |
|
|
Image Segmentation (HP)
|
100% |
375
6.07 IPS |
|
|
Image Segmentation (Q)
|
99% |
233
3.78 IPS |
|
|
Pose Estimation (SP)
|
100% |
3186
3.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
4590
5.36 IPS |
|
|
Pose Estimation (Q)
|
96% |
1839
2.15 IPS |
|
|
Object Detection (SP)
|
100% |
1032
81.8 IPS |
|
|
Object Detection (HP)
|
100% |
1330
105.5 IPS |
|
|
Object Detection (Q)
|
92% |
179
14.3 IPS |
|
|
Face Detection (SP)
|
100% |
3649
43.4 IPS |
|
|
Face Detection (HP)
|
100% |
4339
51.6 IPS |
|
|
Face Detection (Q)
|
100% |
297
3.53 IPS |
|
|
Depth Estimation (SP)
|
100% |
3146
24.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
4733
36.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
551
4.30 IPS |
|
|
Style Transfer (SP)
|
100% |
8866
11.4 IPS |
|
|
Style Transfer (HP)
|
100% |
10666
13.7 IPS |
|
|
Style Transfer (Q)
|
96% |
3054
3.94 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1547
57.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2247
83.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
399
14.7 IPS |
|
|
Text Classification (SP)
|
100% |
222
296.9 IPS |
|
|
Text Classification (HP)
|
100% |
265
353.5 IPS |
|
|
Text Classification (Q)
|
93% |
263
352.5 IPS |
|
|
Machine Translation (SP)
|
100% |
323
5.56 IPS |
|
|
Machine Translation (HP)
|
100% |
287
4.95 IPS |
|
|
Machine Translation (Q)
|
98% |
286
4.94 IPS |
