iPad Pro (11-inch, 4th generation)
Geekbench AI Score
3436
Single Precision Score
5982
Half Precision Score
4854
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 18 2025 04:02 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1374
255.6 IPS |
|
|
Image Classification (HP)
|
100% |
2513
467.3 IPS |
|
|
Image Classification (Q)
|
96% |
1759
328.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1472
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2406
39.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2753
44.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6834
7.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
15177
17.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
12856
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1534
121.6 IPS |
|
|
Object Detection (HP)
|
97% |
2807
223.5 IPS |
|
|
Object Detection (Q)
|
94% |
2036
162.2 IPS |
|
|
Face Detection (SP)
|
100% |
3118
37.1 IPS |
|
|
Face Detection (HP)
|
100% |
6006
71.4 IPS |
|
|
Face Detection (Q)
|
100% |
3468
41.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5609
43.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
10874
84.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7668
59.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18655
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
29004
37.3 IPS |
|
|
Style Transfer (Q)
|
96% |
23947
30.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3952
145.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4980
183.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3733
137.9 IPS |
|
|
Text Classification (SP)
|
100% |
2255
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
3812
5.09 KIPS |
|
|
Text Classification (Q)
|
93% |
3805
5.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
3725
64.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6337
109.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6346
109.7 IPS |
