iPad Pro (12.9-inch, 6th generation)
Geekbench AI Score
3297
Single Precision Score
5992
Half Precision Score
4860
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 12 2025 12:41 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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 | 7.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1293
240.4 IPS |
|
|
Image Classification (HP)
|
100% |
2524
469.5 IPS |
|
|
Image Classification (Q)
|
96% |
1759
328.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1427
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2383
38.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2741
44.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6299
7.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
14970
17.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12774
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1411
111.9 IPS |
|
|
Object Detection (HP)
|
97% |
2803
223.2 IPS |
|
|
Object Detection (Q)
|
94% |
2033
162.1 IPS |
|
|
Face Detection (SP)
|
100% |
3021
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
6018
71.5 IPS |
|
|
Face Detection (Q)
|
100% |
3462
41.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5347
41.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
10895
84.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7639
59.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18069
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28187
36.2 IPS |
|
|
Style Transfer (Q)
|
96% |
23419
30.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3696
136.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4975
183.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3705
136.8 IPS |
|
|
Text Classification (SP)
|
100% |
2379
3.17 KIPS |
|
|
Text Classification (HP)
|
99% |
3833
5.12 KIPS |
|
|
Text Classification (Q)
|
93% |
3819
5.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
3609
62.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6715
116.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6712
116.0 IPS |
