iPad Pro 11-inch (2nd generation)
Geekbench AI Score
1292
Single Precision Score
1584
Half Precision Score
422
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | December 11 2024 11:37 AM |
| 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% |
1000
186.0 IPS |
|
|
Image Classification (HP)
|
100% |
1162
216.1 IPS |
|
|
Image Classification (Q)
|
96% |
155
29.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
354
5.73 IPS |
|
|
Image Segmentation (HP)
|
100% |
376
6.09 IPS |
|
|
Image Segmentation (Q)
|
99% |
224
3.63 IPS |
|
|
Pose Estimation (SP)
|
100% |
3180
3.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
4593
5.36 IPS |
|
|
Pose Estimation (Q)
|
96% |
1811
2.12 IPS |
|
|
Object Detection (SP)
|
100% |
1026
81.4 IPS |
|
|
Object Detection (HP)
|
100% |
1331
105.6 IPS |
|
|
Object Detection (Q)
|
92% |
179
14.3 IPS |
|
|
Face Detection (SP)
|
100% |
3634
43.2 IPS |
|
|
Face Detection (HP)
|
100% |
4233
50.3 IPS |
|
|
Face Detection (Q)
|
100% |
297
3.53 IPS |
|
|
Depth Estimation (SP)
|
100% |
3154
24.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4720
36.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
566
4.42 IPS |
|
|
Style Transfer (SP)
|
100% |
8987
11.6 IPS |
|
|
Style Transfer (HP)
|
100% |
10927
14.0 IPS |
|
|
Style Transfer (Q)
|
96% |
3137
4.05 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1572
58.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2254
83.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
403
14.9 IPS |
|
|
Text Classification (SP)
|
100% |
216
288.5 IPS |
|
|
Text Classification (HP)
|
100% |
264
352.5 IPS |
|
|
Text Classification (Q)
|
93% |
264
354.8 IPS |
|
|
Machine Translation (SP)
|
100% |
323
5.57 IPS |
|
|
Machine Translation (HP)
|
100% |
287
4.94 IPS |
|
|
Machine Translation (Q)
|
98% |
287
4.96 IPS |
