iPad Pro (11-inch, 4th generation)
Geekbench AI Score
7516
Single Precision Score
8271
Half Precision Score
7608
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 24 2025 01:47 PM |
| Views | 1 |
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% |
3671
682.6 IPS |
|
|
Image Classification (HP)
|
100% |
3686
685.5 IPS |
|
|
Image Classification (Q)
|
96% |
3381
631.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
5708
92.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
5863
95.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
5594
90.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
24631
28.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
26277
30.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
25375
29.7 IPS |
|
|
Object Detection (SP)
|
100% |
3653
289.8 IPS |
|
|
Object Detection (HP)
|
100% |
3693
292.9 IPS |
|
|
Object Detection (Q)
|
92% |
3345
267.0 IPS |
|
|
Face Detection (SP)
|
100% |
10327
122.7 IPS |
|
|
Face Detection (HP)
|
100% |
11994
142.5 IPS |
|
|
Face Detection (Q)
|
100% |
9950
118.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
16785
129.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
17923
138.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
16232
126.9 IPS |
|
|
Style Transfer (SP)
|
100% |
42980
55.3 IPS |
|
|
Style Transfer (HP)
|
100% |
48592
62.5 IPS |
|
|
Style Transfer (Q)
|
96% |
47115
60.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9813
362.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10171
375.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8699
321.2 IPS |
|
|
Text Classification (SP)
|
100% |
2247
3.00 KIPS |
|
|
Text Classification (HP)
|
100% |
3810
5.09 KIPS |
|
|
Text Classification (Q)
|
93% |
3786
5.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
1858
32.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1766
30.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1616
27.9 IPS |
