iPad Pro (11-inch 3rd generation)
Geekbench AI Score
4727
Single Precision Score
27091
Half Precision Score
37141
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 23 2025 11:09 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2095
389.6 IPS |
|
|
Image Classification (HP)
|
100% |
11353
2.11 KIPS |
|
|
Image Classification (Q)
|
97% |
19602
3.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1754
28.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
17481
283.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
24804
402.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9882
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
119397
139.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
211540
247.9 IPS |
|
|
Object Detection (SP)
|
100% |
2545
201.9 IPS |
|
|
Object Detection (HP)
|
100% |
11298
896.1 IPS |
|
|
Object Detection (Q)
|
91% |
17297
1.38 KIPS |
|
|
Face Detection (SP)
|
100% |
4245
50.4 IPS |
|
|
Face Detection (HP)
|
100% |
19451
231.1 IPS |
|
|
Face Detection (Q)
|
100% |
25948
308.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8692
67.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
88385
681.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
107115
837.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22380
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
181182
232.9 IPS |
|
|
Style Transfer (Q)
|
96% |
210586
271.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5271
194.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
57463
2.12 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86420
3.19 KIPS |
|
|
Text Classification (SP)
|
100% |
2970
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
4517
6.03 KIPS |
|
|
Text Classification (Q)
|
93% |
5317
7.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
4663
80.3 IPS |
|
|
Machine Translation (HP)
|
100% |
9841
169.5 IPS |
|
|
Machine Translation (Q)
|
98% |
10442
180.4 IPS |
