iPad Pro (12.9-inch, 6th generation)
Geekbench AI Score
3442
Single Precision Score
5976
Half Precision Score
4851
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 26 2025 11:16 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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 | 7.35 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1394
259.3 IPS |
|
|
Image Classification (HP)
|
100% |
2524
469.3 IPS |
|
|
Image Classification (Q)
|
96% |
1761
328.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1489
24.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2402
38.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2795
45.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6837
7.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
15106
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12865
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1534
121.6 IPS |
|
|
Object Detection (HP)
|
97% |
2814
224.0 IPS |
|
|
Object Detection (Q)
|
94% |
2055
163.8 IPS |
|
|
Face Detection (SP)
|
100% |
3129
37.2 IPS |
|
|
Face Detection (HP)
|
100% |
6040
71.8 IPS |
|
|
Face Detection (Q)
|
100% |
3493
41.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5635
43.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
10931
84.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7700
60.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18654
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
29000
37.3 IPS |
|
|
Style Transfer (Q)
|
96% |
24010
31.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3947
145.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5025
185.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3735
137.9 IPS |
|
|
Text Classification (SP)
|
100% |
2246
3.00 KIPS |
|
|
Text Classification (HP)
|
100% |
3708
4.95 KIPS |
|
|
Text Classification (Q)
|
93% |
3634
4.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
3687
63.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6319
109.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6328
109.4 IPS |
