iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3183
Single Precision Score
15645
Half Precision Score
15386
Quantized Score
Geekbench AI 1.6.0 Corporate for iOS AArch64
Result Information
| Upload Date | December 02 2025 08:11 PM |
| Views | 5 |
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% |
1400
260.4 IPS |
|
|
Image Classification (HP)
|
100% |
6284
1.17 KIPS |
|
|
Image Classification (Q)
|
96% |
5904
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1328
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9649
156.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
10015
162.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6463
7.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
68729
80.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
66655
78.1 IPS |
|
|
Object Detection (SP)
|
100% |
1508
119.6 IPS |
|
|
Object Detection (HP)
|
99% |
7189
571.8 IPS |
|
|
Object Detection (Q)
|
91% |
6642
530.8 IPS |
|
|
Face Detection (SP)
|
100% |
2956
35.1 IPS |
|
|
Face Detection (HP)
|
100% |
16386
194.7 IPS |
|
|
Face Detection (Q)
|
100% |
15298
181.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5659
43.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
46989
362.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
47727
373.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16834
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
120966
155.5 IPS |
|
|
Style Transfer (Q)
|
96% |
117083
151.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3670
135.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23063
851.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23748
876.9 IPS |
|
|
Text Classification (SP)
|
100% |
2298
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3954
5.28 KIPS |
|
|
Text Classification (Q)
|
93% |
3941
5.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
2485
42.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3453
59.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3552
61.4 IPS |
