iPad Pro (12.9-inch, 6th generation)
Geekbench AI Score
3500
Single Precision Score
6062
Half Precision Score
4911
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | teotwawk |
| Upload Date | March 07 2026 12:23 PM |
| Views | 9 |
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 | iPad14,6 |
| Motherboard | J621AP |
| 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% |
1400
260.4 IPS |
|
|
Image Classification (HP)
|
100% |
2548
473.9 IPS |
|
|
Image Classification (Q)
|
96% |
1779
332.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1539
25.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2483
40.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2796
45.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6873
8.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
15368
17.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
13144
15.4 IPS |
|
|
Object Detection (SP)
|
100% |
1550
122.9 IPS |
|
|
Object Detection (HP)
|
97% |
2821
224.6 IPS |
|
|
Object Detection (Q)
|
94% |
2050
163.4 IPS |
|
|
Face Detection (SP)
|
100% |
3202
38.0 IPS |
|
|
Face Detection (HP)
|
100% |
6034
71.7 IPS |
|
|
Face Detection (Q)
|
100% |
3505
41.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5693
43.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11089
85.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7789
60.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18701
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
29361
37.7 IPS |
|
|
Style Transfer (Q)
|
96% |
24242
31.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4050
149.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5046
186.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3732
137.8 IPS |
|
|
Text Classification (SP)
|
100% |
2313
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
3834
5.12 KIPS |
|
|
Text Classification (Q)
|
93% |
3826
5.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
3772
65.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6435
111.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6447
111.4 IPS |
