iPad Pro (12.9-inch, 6th generation)
Geekbench AI Score
3316
Single Precision Score
26404
Half Precision Score
28782
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 19 2025 05:40 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1314
244.4 IPS |
|
|
Image Classification (HP)
|
100% |
14197
2.64 KIPS |
|
|
Image Classification (Q)
|
96% |
15149
2.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1456
23.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
19821
321.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
23835
386.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6303
7.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
105991
123.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
105265
123.4 IPS |
|
|
Object Detection (SP)
|
100% |
1419
112.6 IPS |
|
|
Object Detection (HP)
|
99% |
15394
1.22 KIPS |
|
|
Object Detection (Q)
|
91% |
16522
1.32 KIPS |
|
|
Face Detection (SP)
|
100% |
3070
36.5 IPS |
|
|
Face Detection (HP)
|
100% |
33796
401.6 IPS |
|
|
Face Detection (Q)
|
100% |
42801
508.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5407
41.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
86688
667.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
105304
822.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18110
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
204044
262.3 IPS |
|
|
Style Transfer (Q)
|
96% |
192967
249.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3696
136.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
36836
1.36 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42107
1.55 KIPS |
|
|
Text Classification (SP)
|
100% |
2347
3.13 KIPS |
|
|
Text Classification (HP)
|
99% |
3881
5.18 KIPS |
|
|
Text Classification (Q)
|
93% |
3866
5.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
3611
62.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4198
72.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4388
75.8 IPS |
