iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3190
Single Precision Score
5364
Half Precision Score
4396
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | June 11 2025 11:15 PM |
| Views | 2 |
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 | iPad13,4 |
| 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% |
1404
261.1 IPS |
|
|
Image Classification (HP)
|
100% |
2182
405.7 IPS |
|
|
Image Classification (Q)
|
96% |
1570
293.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1357
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2145
34.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2508
40.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6456
7.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
14170
16.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12143
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1488
118.1 IPS |
|
|
Object Detection (HP)
|
97% |
2396
190.8 IPS |
|
|
Object Detection (Q)
|
94% |
1770
141.1 IPS |
|
|
Face Detection (SP)
|
100% |
2990
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
5426
64.5 IPS |
|
|
Face Detection (Q)
|
100% |
3150
37.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5650
43.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
10392
80.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7322
57.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16875
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
26758
34.4 IPS |
|
|
Style Transfer (Q)
|
96% |
22203
28.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3665
135.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4611
170.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3506
129.4 IPS |
|
|
Text Classification (SP)
|
100% |
2270
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3931
5.25 KIPS |
|
|
Text Classification (Q)
|
93% |
3915
5.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
2519
43.4 IPS |
|
|
Machine Translation (HP)
|
98% |
4539
78.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4538
78.4 IPS |
