iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3087
Single Precision Score
14393
Half Precision Score
14002
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 10 2025 02:31 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1309
243.4 IPS |
|
|
Image Classification (HP)
|
100% |
5884
1.09 KIPS |
|
|
Image Classification (Q)
|
96% |
5596
1.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1307
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
8815
142.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
9205
149.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6010
7.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
65597
76.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
64516
75.6 IPS |
|
|
Object Detection (SP)
|
100% |
1380
109.5 IPS |
|
|
Object Detection (HP)
|
99% |
6327
503.3 IPS |
|
|
Object Detection (Q)
|
91% |
6064
484.5 IPS |
|
|
Face Detection (SP)
|
100% |
2972
35.3 IPS |
|
|
Face Detection (HP)
|
100% |
13978
166.1 IPS |
|
|
Face Detection (Q)
|
100% |
11772
139.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5458
42.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
42696
328.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
44763
349.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16489
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
119745
153.9 IPS |
|
|
Style Transfer (Q)
|
96% |
110667
142.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3454
127.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24192
893.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22567
833.3 IPS |
|
|
Text Classification (SP)
|
100% |
2383
3.18 KIPS |
|
|
Text Classification (HP)
|
99% |
4150
5.54 KIPS |
|
|
Text Classification (Q)
|
93% |
4100
5.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
2517
43.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2471
42.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2665
46.1 IPS |
