iPad Pro (12.9-inch, 6th generation)
Geekbench AI Score
3457
Single Precision Score
5999
Half Precision Score
4877
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | iPhil |
| Upload Date | March 21 2025 08:43 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1397
259.8 IPS |
|
|
Image Classification (HP)
|
100% |
2517
468.1 IPS |
|
|
Image Classification (Q)
|
96% |
1762
329.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1491
24.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2404
39.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2783
45.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6824
7.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
15131
17.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
13077
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1538
122.0 IPS |
|
|
Object Detection (HP)
|
97% |
2805
223.3 IPS |
|
|
Object Detection (Q)
|
94% |
2038
162.4 IPS |
|
|
Face Detection (SP)
|
100% |
3149
37.4 IPS |
|
|
Face Detection (HP)
|
100% |
6009
71.4 IPS |
|
|
Face Detection (Q)
|
100% |
3472
41.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5579
43.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
10864
84.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7661
59.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18694
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
29095
37.4 IPS |
|
|
Style Transfer (Q)
|
96% |
23979
30.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3951
145.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4982
184.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3707
136.9 IPS |
|
|
Text Classification (SP)
|
100% |
2316
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
3884
5.18 KIPS |
|
|
Text Classification (Q)
|
93% |
3863
5.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
3711
63.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6396
110.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6388
110.4 IPS |
