iPad Pro (12.9-inch, 6th generation)
Geekbench AI Score
3449
Single Precision Score
5983
Half Precision Score
4852
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | dwc22 |
| Upload Date | August 22 2025 11:32 PM |
| Views | 7 |
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 | iPad14,5 |
| 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% |
1386
257.7 IPS |
|
|
Image Classification (HP)
|
100% |
2532
470.8 IPS |
|
|
Image Classification (Q)
|
96% |
1771
330.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1507
24.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2406
39.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2750
44.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6845
7.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
15054
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12741
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
1534
121.7 IPS |
|
|
Object Detection (HP)
|
97% |
2788
221.9 IPS |
|
|
Object Detection (Q)
|
94% |
2019
161.0 IPS |
|
|
Face Detection (SP)
|
100% |
3132
37.2 IPS |
|
|
Face Detection (HP)
|
100% |
5968
70.9 IPS |
|
|
Face Detection (Q)
|
100% |
3506
41.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5596
43.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10879
84.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7614
59.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18475
23.7 IPS |
|
|
Style Transfer (HP)
|
100% |
29254
37.6 IPS |
|
|
Style Transfer (Q)
|
96% |
24193
31.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3937
145.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4924
181.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3677
135.8 IPS |
|
|
Text Classification (SP)
|
100% |
2278
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3828
5.11 KIPS |
|
|
Text Classification (Q)
|
93% |
3797
5.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
3747
64.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6428
111.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6412
110.8 IPS |
