iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3094
Single Precision Score
14597
Half Precision Score
14256
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | kirbalo |
| Upload Date | December 17 2025 09:11 PM |
| Views | 7 |
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, 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% |
1307
243.1 IPS |
|
|
Image Classification (HP)
|
100% |
6140
1.14 KIPS |
|
|
Image Classification (Q)
|
96% |
5819
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1341
21.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
8868
143.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
9130
148.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6006
7.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
65002
75.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
64284
75.3 IPS |
|
|
Object Detection (SP)
|
100% |
1385
109.9 IPS |
|
|
Object Detection (HP)
|
99% |
6744
536.5 IPS |
|
|
Object Detection (Q)
|
91% |
6089
486.5 IPS |
|
|
Face Detection (SP)
|
100% |
2984
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
13387
159.1 IPS |
|
|
Face Detection (Q)
|
100% |
12679
150.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5468
42.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
43049
331.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
42419
331.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16461
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
119054
153.0 IPS |
|
|
Style Transfer (Q)
|
96% |
110745
142.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3467
128.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23581
870.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23611
871.8 IPS |
|
|
Text Classification (SP)
|
100% |
2403
3.21 KIPS |
|
|
Text Classification (HP)
|
99% |
4186
5.59 KIPS |
|
|
Text Classification (Q)
|
93% |
4249
5.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
2465
42.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2717
46.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2792
48.2 IPS |
