iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3264
Single Precision Score
5779
Half Precision Score
4743
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | petergraening |
| Upload Date | February 09 2025 05:11 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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 | 15.31 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1262
234.6 IPS |
|
|
Image Classification (HP)
|
100% |
2448
455.2 IPS |
|
|
Image Classification (Q)
|
96% |
1717
320.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1348
21.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2335
37.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2765
44.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6498
7.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
14786
17.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12820
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1419
112.6 IPS |
|
|
Object Detection (HP)
|
97% |
2811
223.8 IPS |
|
|
Object Detection (Q)
|
94% |
2040
162.6 IPS |
|
|
Face Detection (SP)
|
100% |
2850
33.9 IPS |
|
|
Face Detection (HP)
|
100% |
5557
66.0 IPS |
|
|
Face Detection (Q)
|
100% |
3267
38.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5410
41.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10943
84.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7858
61.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18189
23.4 IPS |
|
|
Style Transfer (HP)
|
100% |
28390
36.5 IPS |
|
|
Style Transfer (Q)
|
96% |
23582
30.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4023
148.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4916
181.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3598
132.8 IPS |
|
|
Text Classification (SP)
|
100% |
2233
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
3780
5.05 KIPS |
|
|
Text Classification (Q)
|
93% |
3755
5.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
3473
59.8 IPS |
|
|
Machine Translation (HP)
|
98% |
5455
94.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5679
98.1 IPS |
