iPad Pro (11-inch, 4th generation)
Geekbench AI Score
3305
Single Precision Score
6026
Half Precision Score
4888
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | semperfidelis316 |
| Upload Date | March 18 2026 02:42 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 26.3.1 |
| 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 | 7.36 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1300
241.7 IPS |
|
|
Image Classification (HP)
|
100% |
2537
471.9 IPS |
|
|
Image Classification (Q)
|
96% |
1753
327.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1442
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2393
38.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2758
44.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6322
7.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
14971
17.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12786
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1415
112.2 IPS |
|
|
Object Detection (HP)
|
97% |
2813
224.0 IPS |
|
|
Object Detection (Q)
|
94% |
2041
162.7 IPS |
|
|
Face Detection (SP)
|
100% |
3011
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
6050
71.9 IPS |
|
|
Face Detection (Q)
|
100% |
3477
41.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5404
41.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
10951
84.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7680
60.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18124
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
28240
36.3 IPS |
|
|
Style Transfer (Q)
|
96% |
23444
30.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3699
136.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4997
184.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3728
137.6 IPS |
|
|
Text Classification (SP)
|
100% |
2345
3.13 KIPS |
|
|
Text Classification (HP)
|
99% |
3914
5.22 KIPS |
|
|
Text Classification (Q)
|
93% |
3906
5.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3627
62.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6757
116.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6773
117.0 IPS |
