iPad Pro (11-inch 3rd generation)
Geekbench AI Score
4930
Single Precision Score
5669
Half Precision Score
4978
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | gabaynes |
| Upload Date | September 18 2024 11:11 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPad Pro (11-inch 3rd generation) |
| Model ID | iPad13,4 |
| Motherboard | J517AP |
| CPU Information | |
|---|---|
| Name | Apple M1 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2320
431.5 IPS |
|
|
Image Classification (HP)
|
100% |
1961
364.6 IPS |
|
|
Image Classification (Q)
|
97% |
1881
351.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2700
43.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3636
58.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3660
59.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
16952
19.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18395
21.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
16719
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
2725
216.2 IPS |
|
|
Object Detection (HP)
|
100% |
2731
216.6 IPS |
|
|
Object Detection (Q)
|
91% |
2126
169.9 IPS |
|
|
Face Detection (SP)
|
100% |
6772
80.5 IPS |
|
|
Face Detection (HP)
|
100% |
8329
99.0 IPS |
|
|
Face Detection (Q)
|
100% |
5865
69.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
12233
94.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
13808
106.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
10713
83.7 IPS |
|
|
Style Transfer (SP)
|
100% |
28390
36.5 IPS |
|
|
Style Transfer (HP)
|
100% |
34193
44.0 IPS |
|
|
Style Transfer (Q)
|
96% |
32043
41.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6403
236.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7204
266.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5475
202.2 IPS |
|
|
Text Classification (SP)
|
100% |
2283
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3844
5.13 KIPS |
|
|
Text Classification (Q)
|
93% |
3809
5.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
854
14.7 IPS |
|
|
Machine Translation (HP)
|
100% |
879
15.1 IPS |
|
|
Machine Translation (Q)
|
98% |
910
15.7 IPS |
