iPad Pro (11-inch 3rd generation)
Geekbench AI Score
4851
Single Precision Score
7984
Half Precision Score
6440
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 13 2025 02:46 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| Model | iPad Pro (11-inch 3rd generation) |
| Model ID | iPad13,4 |
| Motherboard | J517AP |
| CPU Information | |
|---|---|
| Name | Apple M1 |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2185
406.3 IPS |
|
|
Image Classification (HP)
|
100% |
3629
674.8 IPS |
|
|
Image Classification (Q)
|
96% |
2472
461.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1764
28.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2609
42.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3015
48.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9485
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
20071
23.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17262
20.2 IPS |
|
|
Object Detection (SP)
|
100% |
2538
201.3 IPS |
|
|
Object Detection (HP)
|
97% |
3959
315.2 IPS |
|
|
Object Detection (Q)
|
94% |
2796
222.9 IPS |
|
|
Face Detection (SP)
|
100% |
4282
50.9 IPS |
|
|
Face Detection (HP)
|
100% |
7598
90.3 IPS |
|
|
Face Detection (Q)
|
100% |
4506
53.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8774
67.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14379
111.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
10146
79.2 IPS |
|
|
Style Transfer (SP)
|
100% |
24877
32.0 IPS |
|
|
Style Transfer (HP)
|
100% |
39577
50.9 IPS |
|
|
Style Transfer (Q)
|
96% |
32649
42.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5353
197.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6678
246.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4750
175.4 IPS |
|
|
Text Classification (SP)
|
100% |
3227
4.31 KIPS |
|
|
Text Classification (HP)
|
99% |
5766
7.70 KIPS |
|
|
Text Classification (Q)
|
93% |
5736
7.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
4826
83.1 IPS |
|
|
Machine Translation (HP)
|
98% |
8406
145.3 IPS |
|
|
Machine Translation (Q)
|
98% |
8397
145.1 IPS |
