iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3211
Single Precision Score
15572
Half Precision Score
15343
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 21 2025 08:06 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| Model | iPad Pro (11-inch 3rd generation) |
| Model ID | iPad13,7 |
| Motherboard | J518xAP |
| 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 | 15.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1417
263.5 IPS |
|
|
Image Classification (HP)
|
100% |
6263
1.16 KIPS |
|
|
Image Classification (Q)
|
96% |
5877
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1363
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9726
157.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
10046
162.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6482
7.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
66479
77.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
67280
78.9 IPS |
|
|
Object Detection (SP)
|
100% |
1497
118.8 IPS |
|
|
Object Detection (HP)
|
99% |
7208
573.4 IPS |
|
|
Object Detection (Q)
|
91% |
6668
532.8 IPS |
|
|
Face Detection (SP)
|
100% |
3022
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
16407
194.9 IPS |
|
|
Face Detection (Q)
|
100% |
15202
180.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5690
43.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
47200
363.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
47727
373.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17023
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
119835
154.0 IPS |
|
|
Style Transfer (Q)
|
96% |
115051
148.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3694
136.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22994
849.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23584
870.8 IPS |
|
|
Text Classification (SP)
|
100% |
2277
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3795
5.06 KIPS |
|
|
Text Classification (Q)
|
93% |
3779
5.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
2533
43.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3549
61.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3669
63.4 IPS |
