iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
3075
Single Precision Score
14194
Half Precision Score
13680
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | choixyz |
| Upload Date | January 03 2026 07:27 PM |
| Views | 5 |
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% |
1289
239.7 IPS |
|
|
Image Classification (HP)
|
100% |
5735
1.07 KIPS |
|
|
Image Classification (Q)
|
96% |
5807
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1313
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
8774
142.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
9032
146.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6005
7.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
66999
78.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
64045
75.1 IPS |
|
|
Object Detection (SP)
|
100% |
1386
110.0 IPS |
|
|
Object Detection (HP)
|
99% |
6355
505.6 IPS |
|
|
Object Detection (Q)
|
91% |
5849
467.4 IPS |
|
|
Face Detection (SP)
|
100% |
2982
35.4 IPS |
|
|
Face Detection (HP)
|
100% |
13864
164.7 IPS |
|
|
Face Detection (Q)
|
100% |
11190
133.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5476
42.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
42323
326.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
42667
333.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16470
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
118366
152.2 IPS |
|
|
Style Transfer (Q)
|
96% |
111598
144.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3462
127.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23002
849.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22838
843.3 IPS |
|
|
Text Classification (SP)
|
100% |
2355
3.14 KIPS |
|
|
Text Classification (HP)
|
99% |
4125
5.51 KIPS |
|
|
Text Classification (Q)
|
93% |
4008
5.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
2451
42.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2352
40.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2397
41.4 IPS |
