iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3203
Single Precision Score
5385
Half Precision Score
4419
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 13 2025 03:14 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.7.3 |
| Model | iPad Pro (11-inch 3rd generation) |
| Model ID | iPad13,5 |
| Motherboard | J517xAP |
| 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 | 15.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1414
263.0 IPS |
|
|
Image Classification (HP)
|
100% |
2211
411.2 IPS |
|
|
Image Classification (Q)
|
96% |
1570
293.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1362
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2152
34.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2546
41.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6515
7.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
14241
16.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12234
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1494
118.5 IPS |
|
|
Object Detection (HP)
|
97% |
2429
193.4 IPS |
|
|
Object Detection (Q)
|
94% |
1795
143.1 IPS |
|
|
Face Detection (SP)
|
100% |
3027
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
5454
64.8 IPS |
|
|
Face Detection (Q)
|
100% |
3187
37.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5674
43.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10447
80.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7383
57.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16933
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
26940
34.6 IPS |
|
|
Style Transfer (Q)
|
96% |
22354
28.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3684
136.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4596
169.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3507
129.5 IPS |
|
|
Text Classification (SP)
|
100% |
2289
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3968
5.30 KIPS |
|
|
Text Classification (Q)
|
93% |
3946
5.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
2477
42.7 IPS |
|
|
Machine Translation (HP)
|
98% |
4452
76.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4449
76.9 IPS |
