iPad Pro (11-inch, 4th generation)
Geekbench AI Score
3290
Single Precision Score
6012
Half Precision Score
4884
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | tulliok |
| Upload Date | March 07 2026 11:59 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 26.3.1 |
| 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% |
1289
239.7 IPS |
|
|
Image Classification (HP)
|
100% |
2493
463.7 IPS |
|
|
Image Classification (Q)
|
96% |
1733
323.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1430
23.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2369
38.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2743
44.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6320
7.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
15064
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
13063
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1413
112.1 IPS |
|
|
Object Detection (HP)
|
97% |
2826
225.0 IPS |
|
|
Object Detection (Q)
|
94% |
2046
163.0 IPS |
|
|
Face Detection (SP)
|
100% |
3029
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
6026
71.6 IPS |
|
|
Face Detection (Q)
|
100% |
3483
41.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5284
40.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10980
84.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7702
60.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18117
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
28269
36.3 IPS |
|
|
Style Transfer (Q)
|
96% |
23475
30.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3728
137.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5051
186.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3733
137.9 IPS |
|
|
Text Classification (SP)
|
100% |
2300
3.07 KIPS |
|
|
Text Classification (HP)
|
99% |
3800
5.07 KIPS |
|
|
Text Classification (Q)
|
93% |
3793
5.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
3631
62.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6845
118.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6829
118.0 IPS |
