iPad Pro (11-inch, 4th generation)
Geekbench AI Score
3275
Single Precision Score
26600
Half Precision Score
29272
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 30 2026 11:35 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
1293
240.5 IPS |
|
|
Image Classification (HP)
|
100% |
14154
2.63 KIPS |
|
|
Image Classification (Q)
|
96% |
15735
2.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1434
23.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
19800
321.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
23936
388.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6314
7.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
102439
119.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
105323
123.4 IPS |
|
|
Object Detection (SP)
|
100% |
1408
111.7 IPS |
|
|
Object Detection (HP)
|
99% |
15499
1.23 KIPS |
|
|
Object Detection (Q)
|
91% |
16931
1.35 KIPS |
|
|
Face Detection (SP)
|
100% |
2948
35.0 IPS |
|
|
Face Detection (HP)
|
100% |
33698
400.4 IPS |
|
|
Face Detection (Q)
|
100% |
42724
507.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5346
41.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
86961
670.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
108409
847.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17919
23.0 IPS |
|
|
Style Transfer (HP)
|
100% |
197987
254.5 IPS |
|
|
Style Transfer (Q)
|
96% |
194689
251.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3798
140.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
43747
1.62 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47121
1.74 KIPS |
|
|
Text Classification (SP)
|
100% |
2311
3.08 KIPS |
|
|
Text Classification (HP)
|
99% |
3854
5.14 KIPS |
|
|
Text Classification (Q)
|
93% |
3829
5.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
3476
59.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4076
70.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4227
73.0 IPS |
