iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3211
Single Precision Score
15611
Half Precision Score
15307
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | kirbalo |
| Upload Date | August 26 2025 03:22 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1418
263.7 IPS |
|
|
Image Classification (HP)
|
100% |
6265
1.17 KIPS |
|
|
Image Classification (Q)
|
96% |
5905
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1370
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9726
157.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
9996
162.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6513
7.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
67114
78.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
66524
78.0 IPS |
|
|
Object Detection (SP)
|
100% |
1510
119.8 IPS |
|
|
Object Detection (HP)
|
99% |
7141
568.1 IPS |
|
|
Object Detection (Q)
|
91% |
6636
530.3 IPS |
|
|
Face Detection (SP)
|
100% |
3017
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
16459
195.6 IPS |
|
|
Face Detection (Q)
|
100% |
15170
180.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5671
43.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
46459
357.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
46625
364.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16966
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
119915
154.2 IPS |
|
|
Style Transfer (Q)
|
96% |
114304
147.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3700
136.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22994
849.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23429
865.1 IPS |
|
|
Text Classification (SP)
|
100% |
2285
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3989
5.32 KIPS |
|
|
Text Classification (Q)
|
93% |
3914
5.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
2492
42.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3502
60.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3656
63.2 IPS |
