iPad Pro (12.9-inch, 6th generation)
Geekbench AI Score
3461
Single Precision Score
5977
Half Precision Score
4821
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 02:32 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1379
256.5 IPS |
|
|
Image Classification (HP)
|
100% |
2545
473.2 IPS |
|
|
Image Classification (Q)
|
96% |
1770
330.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1529
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2478
40.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2828
45.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6894
8.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
14969
17.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12751
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
1560
123.7 IPS |
|
|
Object Detection (HP)
|
97% |
2869
228.4 IPS |
|
|
Object Detection (Q)
|
94% |
2071
165.0 IPS |
|
|
Face Detection (SP)
|
100% |
3147
37.4 IPS |
|
|
Face Detection (HP)
|
100% |
6193
73.6 IPS |
|
|
Face Detection (Q)
|
100% |
3522
41.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5663
43.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
11590
89.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7979
62.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18860
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28581
36.7 IPS |
|
|
Style Transfer (Q)
|
96% |
23720
30.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4022
148.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4823
178.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3612
133.4 IPS |
|
|
Text Classification (SP)
|
100% |
2267
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3785
5.05 KIPS |
|
|
Text Classification (Q)
|
93% |
3704
4.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
3555
61.2 IPS |
|
|
Machine Translation (HP)
|
98% |
5741
99.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5763
99.6 IPS |
