iPad Pro (11-inch, 4th generation)
Geekbench AI Score
3428
Single Precision Score
26062
Half Precision Score
29081
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 02 2025 12:06 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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 | 7.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1322
245.8 IPS |
|
|
Image Classification (HP)
|
100% |
13719
2.55 KIPS |
|
|
Image Classification (Q)
|
96% |
15475
2.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1473
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
19589
317.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
23997
389.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6818
7.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
101867
118.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
106648
125.0 IPS |
|
|
Object Detection (SP)
|
100% |
1538
122.0 IPS |
|
|
Object Detection (HP)
|
99% |
14945
1.19 KIPS |
|
|
Object Detection (Q)
|
91% |
16954
1.35 KIPS |
|
|
Face Detection (SP)
|
100% |
3135
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
32705
388.6 IPS |
|
|
Face Detection (Q)
|
100% |
41167
489.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5607
43.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
84789
653.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
103796
811.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18651
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
203340
261.4 IPS |
|
|
Style Transfer (Q)
|
96% |
195243
252.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3995
147.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38413
1.42 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46065
1.70 KIPS |
|
|
Text Classification (SP)
|
100% |
2264
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
3804
5.08 KIPS |
|
|
Text Classification (Q)
|
93% |
3746
5.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
3707
63.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4289
73.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4476
77.3 IPS |
