iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3075
Single Precision Score
5390
Half Precision Score
4424
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | ebarrera |
| Upload Date | October 01 2025 10:32 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1308
243.3 IPS |
|
|
Image Classification (HP)
|
100% |
2185
406.4 IPS |
|
|
Image Classification (Q)
|
96% |
1556
290.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1313
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2134
34.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2526
41.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6018
7.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
14103
16.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12119
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1374
109.0 IPS |
|
|
Object Detection (HP)
|
97% |
2416
192.3 IPS |
|
|
Object Detection (Q)
|
94% |
1789
142.6 IPS |
|
|
Face Detection (SP)
|
100% |
2965
35.2 IPS |
|
|
Face Detection (HP)
|
100% |
5416
64.3 IPS |
|
|
Face Detection (Q)
|
100% |
3171
37.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5436
41.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
10402
80.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7359
57.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16481
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
26244
33.7 IPS |
|
|
Style Transfer (Q)
|
96% |
21860
28.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3459
127.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4603
170.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3486
128.7 IPS |
|
|
Text Classification (SP)
|
100% |
2352
3.14 KIPS |
|
|
Text Classification (HP)
|
99% |
4106
5.48 KIPS |
|
|
Text Classification (Q)
|
93% |
4084
5.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
2466
42.5 IPS |
|
|
Machine Translation (HP)
|
98% |
4663
80.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4645
80.3 IPS |
