iPad Pro (11-inch, 4th generation)
Geekbench AI Score
3233
Single Precision Score
26982
Half Precision Score
29972
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 15 2025 01:58 PM |
| Views | 1 |
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% |
1201
223.4 IPS |
|
|
Image Classification (HP)
|
100% |
14398
2.68 KIPS |
|
|
Image Classification (Q)
|
96% |
16181
3.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1341
21.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
19604
317.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
24131
391.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6284
7.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
106082
123.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
106294
124.6 IPS |
|
|
Object Detection (SP)
|
100% |
1404
111.3 IPS |
|
|
Object Detection (HP)
|
99% |
15939
1.27 KIPS |
|
|
Object Detection (Q)
|
91% |
17975
1.44 KIPS |
|
|
Face Detection (SP)
|
100% |
2890
34.3 IPS |
|
|
Face Detection (HP)
|
100% |
34256
407.0 IPS |
|
|
Face Detection (Q)
|
100% |
43807
520.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5353
41.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
88075
678.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
109054
852.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18023
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
203614
261.7 IPS |
|
|
Style Transfer (Q)
|
96% |
190934
246.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3783
139.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42190
1.56 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50302
1.86 KIPS |
|
|
Text Classification (SP)
|
100% |
2342
3.13 KIPS |
|
|
Text Classification (HP)
|
99% |
3967
5.29 KIPS |
|
|
Text Classification (Q)
|
93% |
3933
5.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
3558
61.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4169
71.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4346
75.1 IPS |
