iPad Pro 11-inch (2nd generation)
Geekbench AI Score
1290
Single Precision Score
1602
Half Precision Score
420
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | November 23 2024 01:29 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A12Z Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
959
178.3 IPS |
|
|
Image Classification (HP)
|
100% |
1263
234.8 IPS |
|
|
Image Classification (Q)
|
96% |
155
28.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
357
5.79 IPS |
|
|
Image Segmentation (HP)
|
100% |
376
6.10 IPS |
|
|
Image Segmentation (Q)
|
99% |
225
3.64 IPS |
|
|
Pose Estimation (SP)
|
100% |
3186
3.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
4599
5.37 IPS |
|
|
Pose Estimation (Q)
|
96% |
1808
2.12 IPS |
|
|
Object Detection (SP)
|
100% |
1029
81.6 IPS |
|
|
Object Detection (HP)
|
100% |
1337
106.0 IPS |
|
|
Object Detection (Q)
|
92% |
179
14.3 IPS |
|
|
Face Detection (SP)
|
100% |
3788
45.0 IPS |
|
|
Face Detection (HP)
|
100% |
4405
52.3 IPS |
|
|
Face Detection (Q)
|
100% |
297
3.53 IPS |
|
|
Depth Estimation (SP)
|
100% |
3178
24.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4790
36.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
554
4.32 IPS |
|
|
Style Transfer (SP)
|
100% |
8836
11.4 IPS |
|
|
Style Transfer (HP)
|
100% |
10695
13.7 IPS |
|
|
Style Transfer (Q)
|
96% |
3055
3.94 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1547
57.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2271
83.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
398
14.7 IPS |
|
|
Text Classification (SP)
|
100% |
216
288.5 IPS |
|
|
Text Classification (HP)
|
100% |
261
347.9 IPS |
|
|
Text Classification (Q)
|
93% |
267
358.2 IPS |
|
|
Machine Translation (SP)
|
100% |
322
5.55 IPS |
|
|
Machine Translation (HP)
|
100% |
286
4.93 IPS |
|
|
Machine Translation (Q)
|
98% |
285
4.93 IPS |
