iPad Pro (11-inch, 4th generation)
Geekbench AI Score
7463
Single Precision Score
8286
Half Precision Score
7709
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | mariusfanu |
| Upload Date | April 19 2025 01:05 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
3640
676.9 IPS |
|
|
Image Classification (HP)
|
100% |
3648
678.3 IPS |
|
|
Image Classification (Q)
|
96% |
3402
635.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
5755
93.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
5915
95.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
5676
92.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
24568
28.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
26391
30.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
25409
29.8 IPS |
|
|
Object Detection (SP)
|
100% |
3686
292.4 IPS |
|
|
Object Detection (HP)
|
100% |
3766
298.7 IPS |
|
|
Object Detection (Q)
|
92% |
3451
275.5 IPS |
|
|
Face Detection (SP)
|
100% |
10374
123.3 IPS |
|
|
Face Detection (HP)
|
100% |
12041
143.1 IPS |
|
|
Face Detection (Q)
|
100% |
10084
119.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
16892
130.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
18175
140.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
16581
129.7 IPS |
|
|
Style Transfer (SP)
|
100% |
43387
55.8 IPS |
|
|
Style Transfer (HP)
|
100% |
48832
62.8 IPS |
|
|
Style Transfer (Q)
|
96% |
47441
61.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10005
369.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10329
381.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8711
321.7 IPS |
|
|
Text Classification (SP)
|
100% |
2231
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
3799
5.07 KIPS |
|
|
Text Classification (Q)
|
93% |
3756
5.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
1665
28.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1698
29.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1689
29.2 IPS |
