iPad Pro (12.9-inch, 6th generation)
Geekbench AI Score
3430
Single Precision Score
26029
Half Precision Score
28833
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | iPhil |
| Upload Date | March 21 2025 08:48 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| Model | iPad Pro (12.9-inch, 6th generation) |
| Model ID | iPad14,5 |
| Motherboard | J620AP |
| 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 | 7.35 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1384
257.3 IPS |
|
|
Image Classification (HP)
|
100% |
14221
2.64 KIPS |
|
|
Image Classification (Q)
|
96% |
14727
2.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1472
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
19419
314.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
23833
386.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6785
7.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
104937
122.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
106528
124.9 IPS |
|
|
Object Detection (SP)
|
100% |
1513
120.0 IPS |
|
|
Object Detection (HP)
|
99% |
15006
1.19 KIPS |
|
|
Object Detection (Q)
|
91% |
17542
1.40 KIPS |
|
|
Face Detection (SP)
|
100% |
3095
36.8 IPS |
|
|
Face Detection (HP)
|
100% |
32729
388.9 IPS |
|
|
Face Detection (Q)
|
100% |
41225
489.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5548
42.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
83762
645.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
104839
819.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18469
23.7 IPS |
|
|
Style Transfer (HP)
|
100% |
202786
260.7 IPS |
|
|
Style Transfer (Q)
|
96% |
187962
242.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3961
146.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37185
1.37 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
45330
1.67 KIPS |
|
|
Text Classification (SP)
|
100% |
2309
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3796
5.07 KIPS |
|
|
Text Classification (Q)
|
93% |
3781
5.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
3716
64.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4184
72.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4349
75.2 IPS |
