iPad Pro (11-inch 3rd generation)
Geekbench AI Score
4726
Single Precision Score
7808
Half Precision Score
6280
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | loismustdie1 |
| Upload Date | November 24 2025 12:10 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| Model | iPad Pro (11-inch 3rd generation) |
| Model ID | iPad13,4 |
| Motherboard | J517AP |
| CPU Information | |
|---|---|
| Name | Apple M1 |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2095
389.7 IPS |
|
|
Image Classification (HP)
|
100% |
3441
640.0 IPS |
|
|
Image Classification (Q)
|
96% |
2403
448.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1724
27.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2612
42.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2965
48.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9924
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18946
22.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
16250
19.0 IPS |
|
|
Object Detection (SP)
|
100% |
2543
201.7 IPS |
|
|
Object Detection (HP)
|
97% |
3907
311.0 IPS |
|
|
Object Detection (Q)
|
94% |
2800
223.2 IPS |
|
|
Face Detection (SP)
|
100% |
4212
50.0 IPS |
|
|
Face Detection (HP)
|
100% |
7486
89.0 IPS |
|
|
Face Detection (Q)
|
100% |
4417
52.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8252
63.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14193
109.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10067
78.6 IPS |
|
|
Style Transfer (SP)
|
100% |
23617
30.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38343
49.3 IPS |
|
|
Style Transfer (Q)
|
96% |
30666
39.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5208
192.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6688
247.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4660
172.1 IPS |
|
|
Text Classification (SP)
|
100% |
3035
4.05 KIPS |
|
|
Text Classification (HP)
|
99% |
5761
7.69 KIPS |
|
|
Text Classification (Q)
|
93% |
5746
7.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
4709
81.1 IPS |
|
|
Machine Translation (HP)
|
98% |
8066
139.4 IPS |
|
|
Machine Translation (Q)
|
98% |
8065
139.4 IPS |
