iPad Pro (11-inch, 4th generation)
Geekbench AI Score
3467
Single Precision Score
25830
Half Precision Score
28421
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 24 2024 10:48 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1378
256.3 IPS |
|
|
Image Classification (HP)
|
100% |
14285
2.66 KIPS |
|
|
Image Classification (Q)
|
96% |
14259
2.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1540
25.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
18923
306.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
23781
385.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6880
8.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
105470
123.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
105113
123.2 IPS |
|
|
Object Detection (SP)
|
100% |
1567
124.3 IPS |
|
|
Object Detection (HP)
|
99% |
14995
1.19 KIPS |
|
|
Object Detection (Q)
|
91% |
16756
1.34 KIPS |
|
|
Face Detection (SP)
|
100% |
3166
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
32309
383.9 IPS |
|
|
Face Detection (Q)
|
100% |
41308
490.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5703
43.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
85030
655.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
103309
807.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18899
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
201031
258.4 IPS |
|
|
Style Transfer (Q)
|
96% |
189849
245.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4052
149.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38273
1.41 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46333
1.71 KIPS |
|
|
Text Classification (SP)
|
100% |
2238
2.99 KIPS |
|
|
Text Classification (HP)
|
100% |
3712
4.95 KIPS |
|
|
Text Classification (Q)
|
93% |
3729
5.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
3549
61.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3942
67.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4114
71.1 IPS |
