iPad Pro (11-inch, 4th generation)
Geekbench AI Score
7497
Single Precision Score
8355
Half Precision Score
7721
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | RG22032 |
| Upload Date | December 29 2025 10:47 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 18.7.3 |
| Model | iPad Pro (11-inch, 4th generation) |
| Model ID | iPad14,4 |
| Motherboard | J618AP |
| 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 | 7.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3700
688.0 IPS |
|
|
Image Classification (HP)
|
100% |
3708
689.6 IPS |
|
|
Image Classification (Q)
|
96% |
3480
649.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
5714
92.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5865
95.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
5634
91.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
24684
28.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
26829
31.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
25982
30.4 IPS |
|
|
Object Detection (SP)
|
100% |
3648
289.3 IPS |
|
|
Object Detection (HP)
|
100% |
3691
292.8 IPS |
|
|
Object Detection (Q)
|
92% |
3498
279.2 IPS |
|
|
Face Detection (SP)
|
100% |
10385
123.4 IPS |
|
|
Face Detection (HP)
|
100% |
12169
144.6 IPS |
|
|
Face Detection (Q)
|
100% |
9997
118.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
16888
130.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
18275
140.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
16425
128.3 IPS |
|
|
Style Transfer (SP)
|
100% |
42818
55.0 IPS |
|
|
Style Transfer (HP)
|
100% |
49262
63.3 IPS |
|
|
Style Transfer (Q)
|
96% |
47925
61.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9977
368.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10678
394.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8807
325.2 IPS |
|
|
Text Classification (SP)
|
100% |
2246
3.00 KIPS |
|
|
Text Classification (HP)
|
100% |
3762
5.02 KIPS |
|
|
Text Classification (Q)
|
93% |
3836
5.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
1751
30.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1749
30.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1590
27.5 IPS |
