iPad Pro (12.9-inch, 6th generation)
Geekbench AI Score
3486
Single Precision Score
5979
Half Precision Score
4839
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 05 2025 09:51 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1396
259.6 IPS |
|
|
Image Classification (HP)
|
100% |
2547
473.6 IPS |
|
|
Image Classification (Q)
|
96% |
1783
333.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1592
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2543
41.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2872
46.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6891
8.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
14902
17.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
12926
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1573
124.8 IPS |
|
|
Object Detection (HP)
|
97% |
2894
230.4 IPS |
|
|
Object Detection (Q)
|
94% |
2077
165.6 IPS |
|
|
Face Detection (SP)
|
100% |
3182
37.8 IPS |
|
|
Face Detection (HP)
|
100% |
6220
73.9 IPS |
|
|
Face Detection (Q)
|
100% |
3560
42.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5673
43.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
11577
89.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7984
62.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18876
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
28508
36.6 IPS |
|
|
Style Transfer (Q)
|
96% |
23746
30.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4053
149.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4770
176.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3571
131.9 IPS |
|
|
Text Classification (SP)
|
100% |
2233
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
3708
4.95 KIPS |
|
|
Text Classification (Q)
|
93% |
3691
4.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
3572
61.5 IPS |
|
|
Machine Translation (HP)
|
98% |
5763
99.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5767
99.7 IPS |
