iPad Pro (12.9-inch, 6th generation)
Geekbench AI Score
3471
Single Precision Score
6021
Half Precision Score
4860
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | bluetech |
| Upload Date | August 01 2025 05:08 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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 | 15.35 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1382
256.9 IPS |
|
|
Image Classification (HP)
|
100% |
2473
459.9 IPS |
|
|
Image Classification (Q)
|
96% |
1718
320.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1475
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2388
38.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2740
44.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6863
8.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
15142
17.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
12924
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1548
122.8 IPS |
|
|
Object Detection (HP)
|
97% |
2816
224.2 IPS |
|
|
Object Detection (Q)
|
94% |
2040
162.6 IPS |
|
|
Face Detection (SP)
|
100% |
3163
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
6009
71.4 IPS |
|
|
Face Detection (Q)
|
100% |
3491
41.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5654
43.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
10965
84.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7718
60.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18623
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
28959
37.2 IPS |
|
|
Style Transfer (Q)
|
96% |
23994
31.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4105
151.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5212
192.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3717
137.2 IPS |
|
|
Text Classification (SP)
|
100% |
2304
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3884
5.18 KIPS |
|
|
Text Classification (Q)
|
93% |
3843
5.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
3724
64.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6446
111.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6421
111.0 IPS |
