iPad Pro (11-inch, 4th generation)
Geekbench AI Score
3312
Single Precision Score
6029
Half Precision Score
4900
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 14 2025 11:51 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
1307
243.0 IPS |
|
|
Image Classification (HP)
|
100% |
2526
469.7 IPS |
|
|
Image Classification (Q)
|
96% |
1760
328.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1445
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2369
38.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2745
44.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6309
7.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
15123
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
13059
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1420
112.6 IPS |
|
|
Object Detection (HP)
|
97% |
2810
223.7 IPS |
|
|
Object Detection (Q)
|
94% |
2041
162.6 IPS |
|
|
Face Detection (SP)
|
100% |
3077
36.6 IPS |
|
|
Face Detection (HP)
|
100% |
5985
71.1 IPS |
|
|
Face Detection (Q)
|
100% |
3465
41.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5441
41.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11052
85.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7787
60.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18135
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
28501
36.6 IPS |
|
|
Style Transfer (Q)
|
96% |
23611
30.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3717
137.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5009
185.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3720
137.4 IPS |
|
|
Text Classification (SP)
|
100% |
2308
3.08 KIPS |
|
|
Text Classification (HP)
|
99% |
3857
5.15 KIPS |
|
|
Text Classification (Q)
|
93% |
3824
5.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
3609
62.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6856
118.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6843
118.3 IPS |
