iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3228
Single Precision Score
5457
Half Precision Score
4440
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 16 2025 04:28 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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 | 7.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1416
263.4 IPS |
|
|
Image Classification (HP)
|
100% |
2222
413.2 IPS |
|
|
Image Classification (Q)
|
96% |
1574
294.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1399
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2208
35.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2529
41.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6485
7.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
14258
16.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12233
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1503
119.2 IPS |
|
|
Object Detection (HP)
|
97% |
2418
192.5 IPS |
|
|
Object Detection (Q)
|
94% |
1787
142.4 IPS |
|
|
Face Detection (SP)
|
100% |
3006
35.7 IPS |
|
|
Face Detection (HP)
|
100% |
5434
64.6 IPS |
|
|
Face Detection (Q)
|
100% |
3166
37.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5683
43.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
10369
80.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7312
57.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16974
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
26848
34.5 IPS |
|
|
Style Transfer (Q)
|
96% |
22381
28.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3759
138.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4855
179.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3549
131.1 IPS |
|
|
Text Classification (SP)
|
100% |
2328
3.11 KIPS |
|
|
Text Classification (HP)
|
100% |
4116
5.49 KIPS |
|
|
Text Classification (Q)
|
93% |
4080
5.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
2508
43.2 IPS |
|
|
Machine Translation (HP)
|
98% |
4580
79.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4570
79.0 IPS |
