iPad Pro (11-inch, 4th generation)
Geekbench AI Score
7634
Single Precision Score
8430
Half Precision Score
7787
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | grouchyfluff |
| Upload Date | December 29 2025 10:20 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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 | 7.36 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3723
692.3 IPS |
|
|
Image Classification (HP)
|
100% |
3722
692.2 IPS |
|
|
Image Classification (Q)
|
96% |
3380
631.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
5796
94.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
5955
96.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
5683
92.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
24755
28.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
26824
31.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
26090
30.6 IPS |
|
|
Object Detection (SP)
|
100% |
3592
285.0 IPS |
|
|
Object Detection (HP)
|
100% |
3607
286.1 IPS |
|
|
Object Detection (Q)
|
92% |
3439
274.5 IPS |
|
|
Face Detection (SP)
|
100% |
10468
124.4 IPS |
|
|
Face Detection (HP)
|
100% |
12027
142.9 IPS |
|
|
Face Detection (Q)
|
100% |
10157
120.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
16962
130.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
18188
140.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
16732
130.7 IPS |
|
|
Style Transfer (SP)
|
100% |
43127
55.4 IPS |
|
|
Style Transfer (HP)
|
100% |
49211
63.3 IPS |
|
|
Style Transfer (Q)
|
96% |
47740
61.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9844
363.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10280
379.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8899
328.6 IPS |
|
|
Text Classification (SP)
|
100% |
2291
3.06 KIPS |
|
|
Text Classification (HP)
|
99% |
3746
5.00 KIPS |
|
|
Text Classification (Q)
|
93% |
3736
5.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
2030
35.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2039
35.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1765
30.5 IPS |
