iPad Pro (11-inch, 4th generation)
Geekbench AI Score
7558
Single Precision Score
8603
Half Precision Score
7786
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 05 2025 08:33 PM |
| Views | 1 |
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% |
3727
693.1 IPS |
|
|
Image Classification (HP)
|
100% |
3693
686.7 IPS |
|
|
Image Classification (Q)
|
96% |
3383
631.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
5792
93.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
5941
96.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
5693
92.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
24769
28.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
26861
31.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
26076
30.5 IPS |
|
|
Object Detection (SP)
|
100% |
3580
284.0 IPS |
|
|
Object Detection (HP)
|
100% |
3586
284.4 IPS |
|
|
Object Detection (Q)
|
92% |
3431
273.9 IPS |
|
|
Face Detection (SP)
|
100% |
10477
124.5 IPS |
|
|
Face Detection (HP)
|
100% |
12111
143.9 IPS |
|
|
Face Detection (Q)
|
100% |
10133
120.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
16916
130.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
18221
140.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
16693
130.4 IPS |
|
|
Style Transfer (SP)
|
100% |
42669
54.9 IPS |
|
|
Style Transfer (HP)
|
100% |
49219
63.3 IPS |
|
|
Style Transfer (Q)
|
96% |
47734
61.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9840
363.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10320
381.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8902
328.7 IPS |
|
|
Text Classification (SP)
|
100% |
2215
2.96 KIPS |
|
|
Text Classification (HP)
|
99% |
3868
5.16 KIPS |
|
|
Text Classification (Q)
|
93% |
3890
5.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
1928
33.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2425
41.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1701
29.4 IPS |
