iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3103
Single Precision Score
14537
Half Precision Score
14184
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 25 2025 09:22 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1302
242.1 IPS |
|
|
Image Classification (HP)
|
100% |
6304
1.17 KIPS |
|
|
Image Classification (Q)
|
96% |
5848
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1358
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9084
147.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
9110
147.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6013
7.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
66063
77.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
64204
75.3 IPS |
|
|
Object Detection (SP)
|
100% |
1394
110.5 IPS |
|
|
Object Detection (HP)
|
99% |
6536
520.0 IPS |
|
|
Object Detection (Q)
|
91% |
6387
510.3 IPS |
|
|
Face Detection (SP)
|
100% |
2965
35.2 IPS |
|
|
Face Detection (HP)
|
100% |
12263
145.7 IPS |
|
|
Face Detection (Q)
|
100% |
12298
146.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5470
42.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
46913
361.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
43911
343.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16487
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
119259
153.3 IPS |
|
|
Style Transfer (Q)
|
96% |
110397
142.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3482
128.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22478
830.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22479
830.0 IPS |
|
|
Text Classification (SP)
|
100% |
2405
3.21 KIPS |
|
|
Text Classification (HP)
|
99% |
4278
5.71 KIPS |
|
|
Text Classification (Q)
|
93% |
4303
5.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
2497
43.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2584
44.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2618
45.2 IPS |
