iPad Pro (12.9-inch, 6th generation)
Geekbench AI Score
7476
Single Precision Score
8416
Half Precision Score
7735
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 09 2025 11:42 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
3682
684.8 IPS |
|
|
Image Classification (HP)
|
100% |
3636
676.2 IPS |
|
|
Image Classification (Q)
|
96% |
3367
628.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
5790
93.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
5941
96.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
5684
92.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
24742
28.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
26874
31.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
25970
30.4 IPS |
|
|
Object Detection (SP)
|
100% |
3565
282.8 IPS |
|
|
Object Detection (HP)
|
100% |
3584
284.3 IPS |
|
|
Object Detection (Q)
|
92% |
3415
272.6 IPS |
|
|
Face Detection (SP)
|
100% |
10458
124.3 IPS |
|
|
Face Detection (HP)
|
100% |
11998
142.6 IPS |
|
|
Face Detection (Q)
|
100% |
10064
119.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
16914
130.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
18196
140.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
16742
130.8 IPS |
|
|
Style Transfer (SP)
|
100% |
43029
55.3 IPS |
|
|
Style Transfer (HP)
|
100% |
49224
63.3 IPS |
|
|
Style Transfer (Q)
|
96% |
47743
61.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9769
360.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10288
379.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8789
324.5 IPS |
|
|
Text Classification (SP)
|
100% |
2341
3.12 KIPS |
|
|
Text Classification (HP)
|
99% |
3880
5.18 KIPS |
|
|
Text Classification (Q)
|
93% |
3878
5.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
1667
28.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1998
34.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1649
28.5 IPS |
