iPad Pro (12.9-inch, 6th generation)
Geekbench AI Score
3306
Single Precision Score
26275
Half Precision Score
28698
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 06 2025 05:32 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1302
242.1 IPS |
|
|
Image Classification (HP)
|
100% |
14383
2.67 KIPS |
|
|
Image Classification (Q)
|
96% |
15315
2.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1442
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
19793
320.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
23902
387.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6309
7.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
105742
123.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
105145
123.2 IPS |
|
|
Object Detection (SP)
|
100% |
1411
111.9 IPS |
|
|
Object Detection (HP)
|
99% |
15352
1.22 KIPS |
|
|
Object Detection (Q)
|
91% |
16277
1.30 KIPS |
|
|
Face Detection (SP)
|
100% |
3017
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
34104
405.2 IPS |
|
|
Face Detection (Q)
|
100% |
43303
514.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5323
41.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
83067
640.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
101275
791.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18133
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
203675
261.8 IPS |
|
|
Style Transfer (Q)
|
96% |
185816
239.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3745
138.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
35578
1.31 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43683
1.61 KIPS |
|
|
Text Classification (SP)
|
100% |
2358
3.15 KIPS |
|
|
Text Classification (HP)
|
99% |
3892
5.19 KIPS |
|
|
Text Classification (Q)
|
93% |
3882
5.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
3639
62.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4248
73.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4378
75.7 IPS |
