iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3203
Single Precision Score
5391
Half Precision Score
4419
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | oridwanbello |
| Upload Date | September 13 2025 05:22 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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 | 7.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1410
262.2 IPS |
|
|
Image Classification (HP)
|
100% |
2206
410.3 IPS |
|
|
Image Classification (Q)
|
96% |
1565
292.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1357
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2151
34.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2522
40.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6479
7.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
14252
16.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12226
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1500
118.9 IPS |
|
|
Object Detection (HP)
|
97% |
2406
191.5 IPS |
|
|
Object Detection (Q)
|
94% |
1781
142.0 IPS |
|
|
Face Detection (SP)
|
100% |
3024
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
5411
64.3 IPS |
|
|
Face Detection (Q)
|
100% |
3160
37.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5682
43.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
10340
79.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7369
57.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16975
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
26924
34.6 IPS |
|
|
Style Transfer (Q)
|
96% |
22360
28.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3685
136.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4666
172.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3521
130.0 IPS |
|
|
Text Classification (SP)
|
100% |
2276
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
4046
5.40 KIPS |
|
|
Text Classification (Q)
|
93% |
4017
5.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
2500
43.1 IPS |
|
|
Machine Translation (HP)
|
98% |
4488
77.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4495
77.7 IPS |
