iPad Pro (11-inch, 4th generation)
Geekbench AI Score
7431
Single Precision Score
8275
Half Precision Score
7650
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | deleavell |
| Upload Date | December 29 2025 09:48 PM |
| 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 | iPad14,3 |
| 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 | 7.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3647
678.3 IPS |
|
|
Image Classification (HP)
|
100% |
3687
685.8 IPS |
|
|
Image Classification (Q)
|
96% |
3407
636.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
5708
92.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
5878
95.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
5598
90.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
24684
28.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
26752
31.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
26133
30.6 IPS |
|
|
Object Detection (SP)
|
100% |
3645
289.1 IPS |
|
|
Object Detection (HP)
|
100% |
3711
294.4 IPS |
|
|
Object Detection (Q)
|
92% |
3383
270.0 IPS |
|
|
Face Detection (SP)
|
100% |
10345
122.9 IPS |
|
|
Face Detection (HP)
|
100% |
12100
143.8 IPS |
|
|
Face Detection (Q)
|
100% |
10069
119.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
16843
129.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
18148
139.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
16961
132.5 IPS |
|
|
Style Transfer (SP)
|
100% |
42828
55.1 IPS |
|
|
Style Transfer (HP)
|
100% |
49258
63.3 IPS |
|
|
Style Transfer (Q)
|
96% |
47884
61.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9807
362.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10389
383.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8852
326.9 IPS |
|
|
Text Classification (SP)
|
100% |
2257
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
3798
5.07 KIPS |
|
|
Text Classification (Q)
|
93% |
3786
5.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
1660
28.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1641
28.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1487
25.7 IPS |
