iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3082
Single Precision Score
14464
Half Precision Score
14024
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | February 02 2026 11:34 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1311
243.7 IPS |
|
|
Image Classification (HP)
|
100% |
6209
1.15 KIPS |
|
|
Image Classification (Q)
|
96% |
5695
1.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1313
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
8923
144.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
9296
150.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6014
7.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
65831
76.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
64285
75.3 IPS |
|
|
Object Detection (SP)
|
100% |
1373
108.9 IPS |
|
|
Object Detection (HP)
|
99% |
6653
529.2 IPS |
|
|
Object Detection (Q)
|
91% |
6268
500.8 IPS |
|
|
Face Detection (SP)
|
100% |
2970
35.3 IPS |
|
|
Face Detection (HP)
|
100% |
12833
152.5 IPS |
|
|
Face Detection (Q)
|
100% |
11981
142.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5428
41.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
42820
329.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
42252
330.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16480
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
119239
153.3 IPS |
|
|
Style Transfer (Q)
|
96% |
110110
142.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3453
127.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23291
860.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23171
855.6 IPS |
|
|
Text Classification (SP)
|
100% |
2379
3.17 KIPS |
|
|
Text Classification (HP)
|
99% |
4212
5.62 KIPS |
|
|
Text Classification (Q)
|
93% |
4150
5.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
2497
43.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2570
44.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2574
44.5 IPS |
