iPad Pro (11-inch, 4th generation)
Geekbench AI Score
3466
Single Precision Score
6062
Half Precision Score
4893
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 19 2025 12:53 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| Model | iPad Pro (11-inch, 4th generation) |
| Model ID | iPad14,3 |
| Motherboard | J617AP |
| CPU Information | |
|---|---|
| Name | Apple M2 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.49 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1382
257.0 IPS |
|
|
Image Classification (HP)
|
100% |
2491
463.2 IPS |
|
|
Image Classification (Q)
|
96% |
1729
322.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1509
24.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2432
39.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2757
44.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6826
7.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
15352
17.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
13153
15.4 IPS |
|
|
Object Detection (SP)
|
100% |
1531
121.4 IPS |
|
|
Object Detection (HP)
|
97% |
2808
223.5 IPS |
|
|
Object Detection (Q)
|
94% |
2043
162.8 IPS |
|
|
Face Detection (SP)
|
100% |
3129
37.2 IPS |
|
|
Face Detection (HP)
|
100% |
6030
71.7 IPS |
|
|
Face Detection (Q)
|
100% |
3501
41.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5625
43.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
11024
85.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7768
60.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18711
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
29390
37.8 IPS |
|
|
Style Transfer (Q)
|
96% |
24298
31.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4117
152.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5180
191.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3756
138.7 IPS |
|
|
Text Classification (SP)
|
100% |
2278
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3908
5.22 KIPS |
|
|
Text Classification (Q)
|
93% |
3832
5.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
3719
64.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6494
112.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6468
111.8 IPS |
