iPad Pro (12.9-inch, 6th generation)
Geekbench AI Score
3449
Single Precision Score
5994
Half Precision Score
4863
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | asymptotepmo |
| Upload Date | September 08 2025 08:34 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
2523
469.2 IPS |
|
|
Image Classification (Q)
|
96% |
1758
328.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1489
24.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2398
38.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2772
44.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6847
7.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
15087
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12853
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1543
122.4 IPS |
|
|
Object Detection (HP)
|
97% |
2811
223.8 IPS |
|
|
Object Detection (Q)
|
94% |
2041
162.6 IPS |
|
|
Face Detection (SP)
|
100% |
3121
37.1 IPS |
|
|
Face Detection (HP)
|
100% |
6012
71.4 IPS |
|
|
Face Detection (Q)
|
100% |
3475
41.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5614
43.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
10917
84.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7688
60.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18668
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
28961
37.2 IPS |
|
|
Style Transfer (Q)
|
96% |
23946
30.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3918
144.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4948
182.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3717
137.3 IPS |
|
|
Text Classification (SP)
|
100% |
2293
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3875
5.17 KIPS |
|
|
Text Classification (Q)
|
93% |
3844
5.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
3726
64.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6402
110.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6335
109.5 IPS |
