iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3043
Single Precision Score
5340
Half Precision Score
4402
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 10 2025 04:09 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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 | 7.36 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1282
238.4 IPS |
|
|
Image Classification (HP)
|
100% |
2136
397.2 IPS |
|
|
Image Classification (Q)
|
96% |
1527
285.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1219
19.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2007
32.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2506
40.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5971
6.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
14030
16.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
12041
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1356
107.5 IPS |
|
|
Object Detection (HP)
|
97% |
2352
187.2 IPS |
|
|
Object Detection (Q)
|
94% |
1755
139.9 IPS |
|
|
Face Detection (SP)
|
100% |
2940
34.9 IPS |
|
|
Face Detection (HP)
|
100% |
5363
63.7 IPS |
|
|
Face Detection (Q)
|
100% |
3132
37.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5400
41.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
10197
78.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7240
56.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16391
21.1 IPS |
|
|
Style Transfer (HP)
|
100% |
26115
33.6 IPS |
|
|
Style Transfer (Q)
|
96% |
21843
28.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3520
130.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4783
176.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3497
129.1 IPS |
|
|
Text Classification (SP)
|
100% |
2381
3.18 KIPS |
|
|
Text Classification (HP)
|
99% |
4168
5.56 KIPS |
|
|
Text Classification (Q)
|
93% |
4174
5.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
2473
42.6 IPS |
|
|
Machine Translation (HP)
|
98% |
4685
81.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4682
80.9 IPS |
