iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3079
Single Precision Score
16591
Half Precision Score
18228
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 15 2025 09:02 AM |
| Views | 6 |
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 | 15.38 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1204
223.9 IPS |
|
|
Image Classification (HP)
|
100% |
8762
1.63 KIPS |
|
|
Image Classification (Q)
|
96% |
9772
1.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1212
19.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
12868
208.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
10592
171.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6129
7.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
62149
72.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
66636
78.1 IPS |
|
|
Object Detection (SP)
|
100% |
1336
106.0 IPS |
|
|
Object Detection (HP)
|
99% |
7119
566.3 IPS |
|
|
Object Detection (Q)
|
91% |
8921
712.9 IPS |
|
|
Face Detection (SP)
|
100% |
2740
32.6 IPS |
|
|
Face Detection (HP)
|
100% |
15532
184.5 IPS |
|
|
Face Detection (Q)
|
100% |
22258
264.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5150
39.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
51998
400.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
64854
506.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17010
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
116890
150.3 IPS |
|
|
Style Transfer (Q)
|
96% |
106145
137.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3629
134.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26152
965.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
32128
1.19 KIPS |
|
|
Text Classification (SP)
|
100% |
2297
3.07 KIPS |
|
|
Text Classification (HP)
|
99% |
3864
5.16 KIPS |
|
|
Text Classification (Q)
|
93% |
3831
5.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
3208
55.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3321
57.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3490
60.3 IPS |
