iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3251
Single Precision Score
5864
Half Precision Score
4791
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | iPhonedo |
| Upload Date | March 13 2025 06:30 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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 | 15.36 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1291
240.2 IPS |
|
|
Image Classification (HP)
|
100% |
2450
455.6 IPS |
|
|
Image Classification (Q)
|
96% |
1718
320.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1387
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2317
37.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2686
43.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6460
7.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
14745
17.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12877
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1442
114.4 IPS |
|
|
Object Detection (HP)
|
97% |
2723
216.8 IPS |
|
|
Object Detection (Q)
|
94% |
2003
159.7 IPS |
|
|
Face Detection (SP)
|
100% |
2882
34.2 IPS |
|
|
Face Detection (HP)
|
100% |
5577
66.3 IPS |
|
|
Face Detection (Q)
|
100% |
3334
39.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5233
40.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
10743
83.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7445
58.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17002
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
28871
37.1 IPS |
|
|
Style Transfer (Q)
|
96% |
24050
31.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3964
146.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5072
187.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3694
136.4 IPS |
|
|
Text Classification (SP)
|
100% |
2302
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3868
5.16 KIPS |
|
|
Text Classification (Q)
|
93% |
3882
5.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
3381
58.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6221
107.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6254
108.1 IPS |
