iPad Pro (11-inch, 4th generation)
Geekbench AI Score
3314
Single Precision Score
26228
Half Precision Score
29203
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 21 2025 11:17 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1310
243.6 IPS |
|
|
Image Classification (HP)
|
100% |
13774
2.56 KIPS |
|
|
Image Classification (Q)
|
96% |
15495
2.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1456
23.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
19652
318.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
24156
391.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6302
7.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
102471
119.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
106329
124.6 IPS |
|
|
Object Detection (SP)
|
100% |
1421
112.7 IPS |
|
|
Object Detection (HP)
|
99% |
15534
1.24 KIPS |
|
|
Object Detection (Q)
|
91% |
16946
1.35 KIPS |
|
|
Face Detection (SP)
|
100% |
3085
36.7 IPS |
|
|
Face Detection (HP)
|
100% |
33790
401.5 IPS |
|
|
Face Detection (Q)
|
100% |
42798
508.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5465
42.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
83675
644.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
102916
804.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18136
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
206105
265.0 IPS |
|
|
Style Transfer (Q)
|
96% |
182791
235.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3687
136.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37432
1.38 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48956
1.81 KIPS |
|
|
Text Classification (SP)
|
100% |
2299
3.07 KIPS |
|
|
Text Classification (HP)
|
99% |
3855
5.15 KIPS |
|
|
Text Classification (Q)
|
93% |
3834
5.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
3620
62.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4252
73.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4427
76.5 IPS |
