iPad Pro (11-inch 3rd generation)
Geekbench AI Score
4910
Single Precision Score
5682
Half Precision Score
5017
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 22 2024 02:19 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPad Pro (11-inch 3rd generation) |
| Model ID | iPad13,6 |
| Motherboard | J518AP |
| 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% |
2207
410.4 IPS |
|
|
Image Classification (HP)
|
100% |
1995
370.9 IPS |
|
|
Image Classification (Q)
|
97% |
1927
359.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2705
43.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3639
59.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3653
59.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
16870
19.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18333
21.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17107
20.1 IPS |
|
|
Object Detection (SP)
|
100% |
2732
216.7 IPS |
|
|
Object Detection (HP)
|
100% |
2735
216.9 IPS |
|
|
Object Detection (Q)
|
91% |
2223
177.6 IPS |
|
|
Face Detection (SP)
|
100% |
6847
81.4 IPS |
|
|
Face Detection (HP)
|
100% |
8510
101.1 IPS |
|
|
Face Detection (Q)
|
100% |
5738
68.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
12183
93.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
13612
104.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
11389
89.0 IPS |
|
|
Style Transfer (SP)
|
100% |
28884
37.1 IPS |
|
|
Style Transfer (HP)
|
100% |
34951
44.9 IPS |
|
|
Style Transfer (Q)
|
96% |
32540
42.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6384
235.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7173
264.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5446
201.1 IPS |
|
|
Text Classification (SP)
|
100% |
2276
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3899
5.20 KIPS |
|
|
Text Classification (Q)
|
93% |
3853
5.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
847
14.6 IPS |
|
|
Machine Translation (HP)
|
100% |
852
14.7 IPS |
|
|
Machine Translation (Q)
|
98% |
847
14.6 IPS |
