iPad Pro (12.9-inch, 6th generation)
Geekbench AI Score
3473
Single Precision Score
5953
Half Precision Score
4820
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 09 2024 06:14 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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 | 15.35 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1396
259.6 IPS |
|
|
Image Classification (HP)
|
100% |
2538
471.9 IPS |
|
|
Image Classification (Q)
|
96% |
1759
328.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1536
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2464
39.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2842
46.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6884
8.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
14814
17.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12723
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
1562
123.9 IPS |
|
|
Object Detection (HP)
|
97% |
2872
228.6 IPS |
|
|
Object Detection (Q)
|
94% |
2078
165.6 IPS |
|
|
Face Detection (SP)
|
100% |
3163
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
6216
73.9 IPS |
|
|
Face Detection (Q)
|
100% |
3554
42.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5697
43.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11551
89.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7995
62.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18907
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
28548
36.7 IPS |
|
|
Style Transfer (Q)
|
96% |
23773
30.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4060
149.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4851
179.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3608
133.2 IPS |
|
|
Text Classification (SP)
|
100% |
2262
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
3692
4.93 KIPS |
|
|
Text Classification (Q)
|
93% |
3678
4.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
3547
61.1 IPS |
|
|
Machine Translation (HP)
|
98% |
5729
99.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5714
98.8 IPS |
