iPad Pro (11-inch, 4th generation)
Geekbench AI Score
3458
Single Precision Score
6004
Half Precision Score
4869
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | RG22032 |
| Upload Date | December 29 2025 10:42 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1402
260.6 IPS |
|
|
Image Classification (HP)
|
100% |
2526
469.8 IPS |
|
|
Image Classification (Q)
|
96% |
1761
328.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1486
24.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2402
38.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2779
45.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6857
8.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
15106
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12887
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1527
121.2 IPS |
|
|
Object Detection (HP)
|
97% |
2821
224.5 IPS |
|
|
Object Detection (Q)
|
94% |
2042
162.8 IPS |
|
|
Face Detection (SP)
|
100% |
3166
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
5995
71.2 IPS |
|
|
Face Detection (Q)
|
100% |
3471
41.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5629
43.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
10918
84.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7646
59.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18638
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
28912
37.2 IPS |
|
|
Style Transfer (Q)
|
96% |
23969
30.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3950
145.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4985
184.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3722
137.4 IPS |
|
|
Text Classification (SP)
|
100% |
2299
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3886
5.19 KIPS |
|
|
Text Classification (Q)
|
93% |
3852
5.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
3716
64.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6427
111.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6379
110.2 IPS |
