iPad Pro (11-inch, 4th generation)
Geekbench AI Score
3301
Single Precision Score
26580
Half Precision Score
29414
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | grouchyfluff |
| Upload Date | December 29 2025 10:23 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
1285
238.9 IPS |
|
|
Image Classification (HP)
|
100% |
14524
2.70 KIPS |
|
|
Image Classification (Q)
|
96% |
15443
2.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1436
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
19824
321.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
24231
392.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6305
7.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
105252
122.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
105429
123.6 IPS |
|
|
Object Detection (SP)
|
100% |
1425
113.0 IPS |
|
|
Object Detection (HP)
|
99% |
15648
1.24 KIPS |
|
|
Object Detection (Q)
|
91% |
16686
1.33 KIPS |
|
|
Face Detection (SP)
|
100% |
3030
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
33952
403.4 IPS |
|
|
Face Detection (Q)
|
100% |
43483
516.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5384
41.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
85002
654.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
110149
860.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18113
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
201830
259.5 IPS |
|
|
Style Transfer (Q)
|
96% |
194844
251.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3822
141.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39594
1.46 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46991
1.74 KIPS |
|
|
Text Classification (SP)
|
100% |
2285
3.05 KIPS |
|
|
Text Classification (HP)
|
99% |
3806
5.08 KIPS |
|
|
Text Classification (Q)
|
93% |
3797
5.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
3593
61.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4230
72.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4423
76.4 IPS |
