iPad Pro (11-inch, 4th generation)
Geekbench AI Score
3461
Single Precision Score
5995
Half Precision Score
4865
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | JNALMUTRAFI |
| Upload Date | October 15 2025 11:42 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
1396
259.6 IPS |
|
|
Image Classification (HP)
|
100% |
2521
468.8 IPS |
|
|
Image Classification (Q)
|
96% |
1766
329.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1516
24.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2434
39.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2790
45.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6817
7.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
15092
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12882
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1532
121.5 IPS |
|
|
Object Detection (HP)
|
97% |
2828
225.1 IPS |
|
|
Object Detection (Q)
|
94% |
2052
163.6 IPS |
|
|
Face Detection (SP)
|
100% |
3170
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
5997
71.3 IPS |
|
|
Face Detection (Q)
|
100% |
3478
41.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5611
43.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
10876
84.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7655
59.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18563
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
28927
37.2 IPS |
|
|
Style Transfer (Q)
|
96% |
23957
30.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3954
146.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5019
185.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3708
136.9 IPS |
|
|
Text Classification (SP)
|
100% |
2310
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3796
5.07 KIPS |
|
|
Text Classification (Q)
|
93% |
3779
5.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
3709
63.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6370
110.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6382
110.3 IPS |
