iPad Pro (11-inch, 4th generation)
Geekbench AI Score
3296
Single Precision Score
5994
Half Precision Score
4888
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | yvectorfield |
| Upload Date | March 12 2026 09:06 AM |
| Views | 6 |
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 | iPad14,4 |
| 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 | 7.36 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1303
242.3 IPS |
|
|
Image Classification (HP)
|
100% |
2540
472.3 IPS |
|
|
Image Classification (Q)
|
96% |
1756
327.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1448
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2390
38.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2772
44.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6324
7.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
14994
17.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12758
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1413
112.1 IPS |
|
|
Object Detection (HP)
|
97% |
2814
224.0 IPS |
|
|
Object Detection (Q)
|
94% |
2044
162.9 IPS |
|
|
Face Detection (SP)
|
100% |
3034
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
5994
71.2 IPS |
|
|
Face Detection (Q)
|
100% |
3475
41.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5346
41.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
10894
84.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7774
60.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18114
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
28146
36.2 IPS |
|
|
Style Transfer (Q)
|
96% |
23436
30.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3725
137.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5006
184.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3711
137.0 IPS |
|
|
Text Classification (SP)
|
100% |
2285
3.05 KIPS |
|
|
Text Classification (HP)
|
99% |
3750
5.01 KIPS |
|
|
Text Classification (Q)
|
93% |
3842
5.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
3594
61.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6781
117.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6806
117.6 IPS |
