iPad Pro 11-inch (2nd generation)
Geekbench AI Score
1289
Single Precision Score
1599
Half Precision Score
422
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | December 28 2024 10:35 AM |
| Views | 2 |
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% |
962
179.0 IPS |
|
|
Image Classification (HP)
|
100% |
1266
235.5 IPS |
|
|
Image Classification (Q)
|
96% |
155
28.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
348
5.65 IPS |
|
|
Image Segmentation (HP)
|
100% |
376
6.09 IPS |
|
|
Image Segmentation (Q)
|
99% |
225
3.64 IPS |
|
|
Pose Estimation (SP)
|
100% |
3182
3.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
4595
5.36 IPS |
|
|
Pose Estimation (Q)
|
96% |
1824
2.14 IPS |
|
|
Object Detection (SP)
|
100% |
1033
81.9 IPS |
|
|
Object Detection (HP)
|
100% |
1376
109.1 IPS |
|
|
Object Detection (Q)
|
92% |
187
14.9 IPS |
|
|
Face Detection (SP)
|
100% |
3808
45.3 IPS |
|
|
Face Detection (HP)
|
100% |
4195
49.8 IPS |
|
|
Face Detection (Q)
|
100% |
298
3.54 IPS |
|
|
Depth Estimation (SP)
|
100% |
3177
24.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4803
37.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
554
4.33 IPS |
|
|
Style Transfer (SP)
|
100% |
8852
11.4 IPS |
|
|
Style Transfer (HP)
|
100% |
10728
13.8 IPS |
|
|
Style Transfer (Q)
|
96% |
3107
4.01 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1551
57.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2256
83.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
399
14.7 IPS |
|
|
Text Classification (SP)
|
100% |
217
290.0 IPS |
|
|
Text Classification (HP)
|
100% |
260
347.5 IPS |
|
|
Text Classification (Q)
|
93% |
262
352.2 IPS |
|
|
Machine Translation (SP)
|
100% |
321
5.53 IPS |
|
|
Machine Translation (HP)
|
100% |
288
4.96 IPS |
|
|
Machine Translation (Q)
|
98% |
286
4.94 IPS |
