iPad Pro (11-inch, 4th generation)
Geekbench AI Score
7566
Single Precision Score
8419
Half Precision Score
7711
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 06 2025 01:09 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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 | 7.36 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3726
692.9 IPS |
|
|
Image Classification (HP)
|
100% |
3693
686.8 IPS |
|
|
Image Classification (Q)
|
96% |
3371
629.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
5788
93.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
5946
96.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
5698
92.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
24733
28.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
26763
31.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
25971
30.4 IPS |
|
|
Object Detection (SP)
|
100% |
3579
283.9 IPS |
|
|
Object Detection (HP)
|
100% |
3600
285.6 IPS |
|
|
Object Detection (Q)
|
92% |
3400
271.4 IPS |
|
|
Face Detection (SP)
|
100% |
10460
124.3 IPS |
|
|
Face Detection (HP)
|
100% |
12088
143.6 IPS |
|
|
Face Detection (Q)
|
100% |
10021
119.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
17070
131.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
18146
139.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
16705
130.5 IPS |
|
|
Style Transfer (SP)
|
100% |
42253
54.3 IPS |
|
|
Style Transfer (HP)
|
100% |
49241
63.3 IPS |
|
|
Style Transfer (Q)
|
96% |
47709
61.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9912
366.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10293
380.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8828
326.0 IPS |
|
|
Text Classification (SP)
|
100% |
2313
3.09 KIPS |
|
|
Text Classification (HP)
|
99% |
3900
5.21 KIPS |
|
|
Text Classification (Q)
|
93% |
3872
5.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
1864
32.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1951
33.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1607
27.8 IPS |
