iPad Pro (11-inch, 4th generation)
Geekbench AI Score
3305
Single Precision Score
26843
Half Precision Score
29212
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 06 2025 01:11 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1304
242.5 IPS |
|
|
Image Classification (HP)
|
100% |
15095
2.81 KIPS |
|
|
Image Classification (Q)
|
96% |
15552
2.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1442
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
19816
321.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
24163
391.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6323
7.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
106145
123.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
106913
125.3 IPS |
|
|
Object Detection (SP)
|
100% |
1426
113.1 IPS |
|
|
Object Detection (HP)
|
99% |
15774
1.25 KIPS |
|
|
Object Detection (Q)
|
91% |
17097
1.37 KIPS |
|
|
Face Detection (SP)
|
100% |
3021
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
34033
404.4 IPS |
|
|
Face Detection (Q)
|
100% |
43045
511.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5363
41.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
87921
677.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
103343
807.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18123
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
205010
263.5 IPS |
|
|
Style Transfer (Q)
|
96% |
195716
252.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3701
136.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38068
1.41 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44316
1.64 KIPS |
|
|
Text Classification (SP)
|
100% |
2335
3.12 KIPS |
|
|
Text Classification (HP)
|
99% |
3911
5.22 KIPS |
|
|
Text Classification (Q)
|
93% |
3866
5.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
3617
62.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4247
73.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4417
76.3 IPS |
