iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3087
Single Precision Score
14179
Half Precision Score
13934
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Matso |
| Upload Date | March 11 2026 02:25 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 26.3.1 |
| 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 | 7.36 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1312
244.0 IPS |
|
|
Image Classification (HP)
|
100% |
5712
1.06 KIPS |
|
|
Image Classification (Q)
|
96% |
5556
1.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1305
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
8849
143.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
9067
147.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6006
7.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
67238
78.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
64236
75.3 IPS |
|
|
Object Detection (SP)
|
100% |
1382
109.6 IPS |
|
|
Object Detection (HP)
|
99% |
6400
509.1 IPS |
|
|
Object Detection (Q)
|
91% |
6236
498.3 IPS |
|
|
Face Detection (SP)
|
100% |
2988
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
12463
148.1 IPS |
|
|
Face Detection (Q)
|
100% |
11695
139.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5455
42.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
41949
323.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
43526
340.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16507
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
119586
153.7 IPS |
|
|
Style Transfer (Q)
|
96% |
111008
143.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3458
127.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22940
847.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22625
835.4 IPS |
|
|
Text Classification (SP)
|
100% |
2397
3.20 KIPS |
|
|
Text Classification (HP)
|
99% |
4222
5.64 KIPS |
|
|
Text Classification (Q)
|
93% |
4204
5.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
2487
42.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2494
43.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2545
44.0 IPS |
