iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3211
Single Precision Score
5387
Half Precision Score
4425
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | dimajcc |
| Upload Date | October 10 2025 10:20 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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 | 7.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1414
263.1 IPS |
|
|
Image Classification (HP)
|
100% |
2214
411.7 IPS |
|
|
Image Classification (Q)
|
96% |
1574
293.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1370
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2157
35.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2548
41.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6497
7.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
14256
16.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12213
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1501
119.0 IPS |
|
|
Object Detection (HP)
|
97% |
2430
193.4 IPS |
|
|
Object Detection (Q)
|
94% |
1799
143.4 IPS |
|
|
Face Detection (SP)
|
100% |
3022
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
5427
64.5 IPS |
|
|
Face Detection (Q)
|
100% |
3175
37.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5676
43.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10330
79.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7363
57.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16981
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
26938
34.6 IPS |
|
|
Style Transfer (Q)
|
96% |
22335
28.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3704
136.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4625
170.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3521
130.0 IPS |
|
|
Text Classification (SP)
|
100% |
2301
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3999
5.34 KIPS |
|
|
Text Classification (Q)
|
93% |
3979
5.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
2489
42.9 IPS |
|
|
Machine Translation (HP)
|
98% |
4458
77.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4466
77.2 IPS |
