iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
3072
Single Precision Score
14126
Half Precision Score
13829
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | tokris |
| Upload Date | January 13 2026 01:18 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| Model | iPad Pro (12.9-inch 5th generation) |
| Model ID | iPad13,11 |
| Motherboard | J523xAP |
| 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 | 15.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1307
243.1 IPS |
|
|
Image Classification (HP)
|
100% |
6161
1.15 KIPS |
|
|
Image Classification (Q)
|
96% |
5482
1.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1299
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
8782
142.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
9025
146.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6019
7.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
66971
78.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
64276
75.3 IPS |
|
|
Object Detection (SP)
|
100% |
1389
110.1 IPS |
|
|
Object Detection (HP)
|
99% |
6370
506.7 IPS |
|
|
Object Detection (Q)
|
91% |
6022
481.2 IPS |
|
|
Face Detection (SP)
|
100% |
2950
35.1 IPS |
|
|
Face Detection (HP)
|
100% |
12081
143.6 IPS |
|
|
Face Detection (Q)
|
100% |
11921
141.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5478
42.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
41955
323.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
42271
330.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16443
21.1 IPS |
|
|
Style Transfer (HP)
|
100% |
118724
152.6 IPS |
|
|
Style Transfer (Q)
|
96% |
111729
144.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3456
127.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23581
870.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23123
853.8 IPS |
|
|
Text Classification (SP)
|
100% |
2336
3.12 KIPS |
|
|
Text Classification (HP)
|
99% |
4000
5.34 KIPS |
|
|
Text Classification (Q)
|
93% |
3958
5.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
2463
42.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2415
41.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2593
44.8 IPS |
