iPad Pro (11-inch, 4th generation)
Geekbench AI Score
3452
Single Precision Score
5859
Half Precision Score
4691
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | yopology |
| Upload Date | February 11 2025 02:14 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| Model | iPad Pro (11-inch, 4th generation) |
| Model ID | iPad14,3 |
| Motherboard | J617AP |
| CPU Information | |
|---|---|
| Name | Apple M2 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.49 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 15.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1389
258.3 IPS |
|
|
Image Classification (HP)
|
100% |
2531
470.7 IPS |
|
|
Image Classification (Q)
|
96% |
1762
329.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1559
25.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2540
41.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2865
46.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6854
8.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
14870
17.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11676
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
1481
117.5 IPS |
|
|
Object Detection (HP)
|
97% |
2717
216.3 IPS |
|
|
Object Detection (Q)
|
94% |
1920
153.0 IPS |
|
|
Face Detection (SP)
|
100% |
3075
36.5 IPS |
|
|
Face Detection (HP)
|
100% |
5670
67.4 IPS |
|
|
Face Detection (Q)
|
100% |
3139
37.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5666
43.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
11323
87.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
8072
63.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18866
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
28485
36.6 IPS |
|
|
Style Transfer (Q)
|
96% |
23664
30.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4174
154.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4750
175.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3581
132.2 IPS |
|
|
Text Classification (SP)
|
100% |
2251
3.00 KIPS |
|
|
Text Classification (HP)
|
100% |
3703
4.94 KIPS |
|
|
Text Classification (Q)
|
93% |
3690
4.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
3546
61.1 IPS |
|
|
Machine Translation (HP)
|
98% |
5708
98.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5761
99.6 IPS |
