iPad Pro (12.9-inch, 6th generation)
Geekbench AI Score
3468
Single Precision Score
5975
Half Precision Score
5207
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | AdrienRL |
| Upload Date | August 16 2024 03:36 AM |
| Views | 2 |
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 | 7.35 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1380
256.6 IPS |
|
|
Image Classification (HP)
|
100% |
2536
471.6 IPS |
|
|
Image Classification (Q)
|
99% |
2527
471.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1541
25.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2481
40.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
2467
40.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6891
8.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
14889
17.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
12831
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1557
123.5 IPS |
|
|
Object Detection (HP)
|
97% |
2872
228.7 IPS |
|
|
Object Detection (Q)
|
94% |
2074
165.4 IPS |
|
|
Face Detection (SP)
|
100% |
3144
37.4 IPS |
|
|
Face Detection (HP)
|
100% |
6162
73.2 IPS |
|
|
Face Detection (Q)
|
100% |
3533
42.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5670
43.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
11617
89.8 IPS |
|
|
Depth Estimation (Q)
|
97% |
11579
89.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18934
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
28663
36.8 IPS |
|
|
Style Transfer (Q)
|
100% |
28581
36.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4100
151.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4897
180.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3537
131.0 IPS |
|
|
Text Classification (SP)
|
100% |
2240
2.99 KIPS |
|
|
Text Classification (HP)
|
100% |
3735
4.99 KIPS |
|
|
Text Classification (Q)
|
93% |
3737
5.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
3567
61.4 IPS |
|
|
Machine Translation (HP)
|
98% |
5745
99.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5721
98.9 IPS |
