iPad Pro (12.9-inch, 6th generation)
Geekbench AI Score
3466
Single Precision Score
5926
Half Precision Score
4796
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 27 2024 12:56 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% |
1384
257.4 IPS |
|
|
Image Classification (HP)
|
100% |
2508
466.4 IPS |
|
|
Image Classification (Q)
|
96% |
1739
324.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1520
24.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2442
39.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2804
45.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6889
8.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
14731
17.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12917
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1566
124.2 IPS |
|
|
Object Detection (HP)
|
97% |
2882
229.4 IPS |
|
|
Object Detection (Q)
|
94% |
2075
165.4 IPS |
|
|
Face Detection (SP)
|
100% |
3161
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
6181
73.4 IPS |
|
|
Face Detection (Q)
|
100% |
3558
42.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5680
43.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
11672
90.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7958
62.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18857
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28433
36.6 IPS |
|
|
Style Transfer (Q)
|
96% |
23652
30.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4066
150.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4770
176.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3560
131.4 IPS |
|
|
Text Classification (SP)
|
100% |
2261
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
3669
4.90 KIPS |
|
|
Text Classification (Q)
|
93% |
3644
4.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
3544
61.1 IPS |
|
|
Machine Translation (HP)
|
98% |
5724
98.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5674
98.0 IPS |
