iPad Pro (11-inch 3rd generation)
Geekbench AI Score
5152
Single Precision Score
6003
Half Precision Score
5600
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | February 02 2026 11:36 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 26.2.1 |
| Model | iPad Pro (11-inch 3rd generation) |
| Model ID | iPad13,6 |
| Motherboard | J518AP |
| 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% |
2053
381.8 IPS |
|
|
Image Classification (HP)
|
100% |
2189
407.1 IPS |
|
|
Image Classification (Q)
|
96% |
2101
392.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4017
65.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4246
68.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4082
66.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
16941
19.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18822
22.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
18198
21.3 IPS |
|
|
Object Detection (SP)
|
100% |
2653
210.4 IPS |
|
|
Object Detection (HP)
|
100% |
2696
213.9 IPS |
|
|
Object Detection (Q)
|
92% |
2501
199.6 IPS |
|
|
Face Detection (SP)
|
100% |
6852
81.4 IPS |
|
|
Face Detection (HP)
|
100% |
8550
101.6 IPS |
|
|
Face Detection (Q)
|
100% |
7049
83.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
12457
96.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
13919
107.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
12770
99.7 IPS |
|
|
Style Transfer (SP)
|
100% |
28474
36.6 IPS |
|
|
Style Transfer (HP)
|
100% |
35142
45.2 IPS |
|
|
Style Transfer (Q)
|
96% |
34116
44.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6352
234.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7190
265.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5912
218.3 IPS |
|
|
Text Classification (SP)
|
100% |
2382
3.18 KIPS |
|
|
Text Classification (HP)
|
99% |
4166
5.56 KIPS |
|
|
Text Classification (Q)
|
93% |
4176
5.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
967
16.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1029
17.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1026
17.7 IPS |
