iPad Pro (11-inch, 4th generation)
Geekbench AI Score
3451
Single Precision Score
6015
Half Precision Score
4905
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | September 02 2025 08:43 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1379
256.5 IPS |
|
|
Image Classification (HP)
|
100% |
2477
460.6 IPS |
|
|
Image Classification (Q)
|
96% |
1735
324.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1464
23.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2360
38.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2741
44.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6853
8.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
15076
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12915
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1532
121.5 IPS |
|
|
Object Detection (HP)
|
97% |
2825
224.9 IPS |
|
|
Object Detection (Q)
|
94% |
2044
162.9 IPS |
|
|
Face Detection (SP)
|
100% |
3101
36.8 IPS |
|
|
Face Detection (HP)
|
100% |
5996
71.2 IPS |
|
|
Face Detection (Q)
|
100% |
3476
41.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5536
42.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
10936
84.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7718
60.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18651
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
28987
37.3 IPS |
|
|
Style Transfer (Q)
|
96% |
23933
30.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3935
145.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4982
184.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3724
137.5 IPS |
|
|
Text Classification (SP)
|
100% |
2314
3.09 KIPS |
|
|
Text Classification (HP)
|
99% |
3852
5.14 KIPS |
|
|
Text Classification (Q)
|
93% |
3860
5.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
3882
66.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6832
118.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6959
120.3 IPS |
