iPad Pro (11-inch, 4th gen) iPad Pro (11-inch, 4th generation)
Geekbench AI Score
3460
Single Precision Score
25997
Half Precision Score
28756
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ChanceLP |
| Upload Date | February 11 2025 08:15 AM |
| Views | 6 |
| Notes | Tracker: 78711143 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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 | 15.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1367
254.2 IPS |
|
|
Image Classification (HP)
|
100% |
14162
2.63 KIPS |
|
|
Image Classification (Q)
|
96% |
15400
2.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1535
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
19215
311.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
23859
386.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6868
8.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
103633
120.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
104497
122.5 IPS |
|
|
Object Detection (SP)
|
100% |
1553
123.2 IPS |
|
|
Object Detection (HP)
|
99% |
14973
1.19 KIPS |
|
|
Object Detection (Q)
|
91% |
17561
1.40 KIPS |
|
|
Face Detection (SP)
|
100% |
3156
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
32827
390.1 IPS |
|
|
Face Detection (Q)
|
100% |
41051
487.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5669
43.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
84980
654.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
105439
824.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18933
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
201529
259.1 IPS |
|
|
Style Transfer (Q)
|
96% |
187388
241.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4056
149.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38517
1.42 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46296
1.71 KIPS |
|
|
Text Classification (SP)
|
100% |
2255
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
3724
4.97 KIPS |
|
|
Text Classification (Q)
|
93% |
3708
4.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
3555
61.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4142
71.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4119
71.2 IPS |
