iPad Pro (12.9-inch, 6th generation)
Geekbench AI Score
7472
Single Precision Score
8310
Half Precision Score
7612
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | asymptotepmo |
| Upload Date | September 08 2025 08:37 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 7.35 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3634
675.7 IPS |
|
|
Image Classification (HP)
|
100% |
3672
682.9 IPS |
|
|
Image Classification (Q)
|
96% |
3392
633.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
5705
92.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
5857
94.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
5600
90.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
24648
28.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
26736
31.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
26043
30.5 IPS |
|
|
Object Detection (SP)
|
100% |
3649
289.5 IPS |
|
|
Object Detection (HP)
|
100% |
3710
294.3 IPS |
|
|
Object Detection (Q)
|
92% |
3338
266.4 IPS |
|
|
Face Detection (SP)
|
100% |
10332
122.8 IPS |
|
|
Face Detection (HP)
|
100% |
11929
141.7 IPS |
|
|
Face Detection (Q)
|
100% |
10050
119.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
16826
129.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
18128
139.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
16465
128.6 IPS |
|
|
Style Transfer (SP)
|
100% |
42938
55.2 IPS |
|
|
Style Transfer (HP)
|
100% |
49221
63.3 IPS |
|
|
Style Transfer (Q)
|
96% |
47706
61.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9785
361.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10294
380.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8786
324.4 IPS |
|
|
Text Classification (SP)
|
100% |
2302
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3828
5.11 KIPS |
|
|
Text Classification (Q)
|
93% |
3779
5.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
1731
29.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1756
30.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1511
26.1 IPS |
