iPad Pro (12.9-inch, 6th generation)
Geekbench AI Score
3446
Single Precision Score
6013
Half Precision Score
4869
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | antinoos |
| Upload Date | June 15 2025 05:44 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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 | 7.35 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1398
260.1 IPS |
|
|
Image Classification (HP)
|
100% |
2526
469.7 IPS |
|
|
Image Classification (Q)
|
96% |
1758
328.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1487
24.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2457
39.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2795
45.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6836
7.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
15113
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12863
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1536
121.8 IPS |
|
|
Object Detection (HP)
|
97% |
2815
224.1 IPS |
|
|
Object Detection (Q)
|
94% |
2043
162.9 IPS |
|
|
Face Detection (SP)
|
100% |
3149
37.4 IPS |
|
|
Face Detection (HP)
|
100% |
6013
71.4 IPS |
|
|
Face Detection (Q)
|
100% |
3464
41.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5566
42.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
10863
84.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7662
59.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18624
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
28985
37.3 IPS |
|
|
Style Transfer (Q)
|
96% |
23961
30.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3920
144.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5011
185.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3717
137.3 IPS |
|
|
Text Classification (SP)
|
100% |
2286
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3866
5.16 KIPS |
|
|
Text Classification (Q)
|
93% |
3863
5.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
3703
63.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6382
110.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6362
109.9 IPS |
