iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
3063
Single Precision Score
5329
Half Precision Score
4417
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 07 2025 07:25 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| Model | iPad Pro (12.9-inch 5th generation) |
| Model ID | iPad13,9 |
| Motherboard | J522xAP |
| 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% |
1283
238.6 IPS |
|
|
Image Classification (HP)
|
100% |
2134
396.8 IPS |
|
|
Image Classification (Q)
|
96% |
1536
286.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1268
20.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2017
32.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2530
41.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6013
7.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
14099
16.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12123
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1369
108.6 IPS |
|
|
Object Detection (HP)
|
97% |
2367
188.4 IPS |
|
|
Object Detection (Q)
|
94% |
1764
140.6 IPS |
|
|
Face Detection (SP)
|
100% |
2967
35.3 IPS |
|
|
Face Detection (HP)
|
100% |
5409
64.3 IPS |
|
|
Face Detection (Q)
|
100% |
3156
37.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5452
42.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
10293
79.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7314
57.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16466
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
26204
33.7 IPS |
|
|
Style Transfer (Q)
|
96% |
21815
28.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3462
127.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4577
169.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3505
129.4 IPS |
|
|
Text Classification (SP)
|
100% |
2383
3.18 KIPS |
|
|
Text Classification (HP)
|
99% |
4126
5.51 KIPS |
|
|
Text Classification (Q)
|
93% |
4141
5.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
2471
42.6 IPS |
|
|
Machine Translation (HP)
|
98% |
4674
80.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4662
80.6 IPS |
