iPad Pro 11-inch (2nd generation)
Geekbench AI Score
1347
Single Precision Score
1671
Half Precision Score
441
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 10 2025 01:53 AM |
| Views | 4 |
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% |
950
176.7 IPS |
|
|
Image Classification (HP)
|
100% |
1220
226.9 IPS |
|
|
Image Classification (Q)
|
96% |
156
29.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
350
5.67 IPS |
|
|
Image Segmentation (HP)
|
100% |
372
6.03 IPS |
|
|
Image Segmentation (Q)
|
99% |
224
3.64 IPS |
|
|
Pose Estimation (SP)
|
100% |
3186
3.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
4586
5.35 IPS |
|
|
Pose Estimation (Q)
|
96% |
1832
2.15 IPS |
|
|
Object Detection (SP)
|
100% |
1014
80.4 IPS |
|
|
Object Detection (HP)
|
100% |
1322
104.9 IPS |
|
|
Object Detection (Q)
|
92% |
179
14.3 IPS |
|
|
Face Detection (SP)
|
100% |
3782
44.9 IPS |
|
|
Face Detection (HP)
|
100% |
4303
51.1 IPS |
|
|
Face Detection (Q)
|
100% |
296
3.52 IPS |
|
|
Depth Estimation (SP)
|
100% |
3182
24.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4793
36.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
553
4.32 IPS |
|
|
Style Transfer (SP)
|
100% |
8845
11.4 IPS |
|
|
Style Transfer (HP)
|
100% |
10775
13.9 IPS |
|
|
Style Transfer (Q)
|
96% |
3061
3.95 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1553
57.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2278
84.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
398
14.7 IPS |
|
|
Text Classification (SP)
|
100% |
220
293.4 IPS |
|
|
Text Classification (HP)
|
100% |
261
348.7 IPS |
|
|
Text Classification (Q)
|
93% |
266
357.6 IPS |
|
|
Machine Translation (SP)
|
100% |
507
8.74 IPS |
|
|
Machine Translation (HP)
|
100% |
467
8.04 IPS |
|
|
Machine Translation (Q)
|
98% |
464
8.01 IPS |
