iPad Pro (11-inch, 4th generation)
Geekbench AI Score
3458
Single Precision Score
6039
Half Precision Score
4894
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | tylerstartz |
| Upload Date | April 11 2025 02:21 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
1393
259.0 IPS |
|
|
Image Classification (HP)
|
100% |
2534
471.3 IPS |
|
|
Image Classification (Q)
|
96% |
1773
331.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1489
24.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2416
39.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2789
45.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6813
7.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
15287
17.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
13078
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1539
122.1 IPS |
|
|
Object Detection (HP)
|
97% |
2808
223.6 IPS |
|
|
Object Detection (Q)
|
94% |
2045
163.0 IPS |
|
|
Face Detection (SP)
|
100% |
3119
37.1 IPS |
|
|
Face Detection (HP)
|
100% |
5999
71.3 IPS |
|
|
Face Detection (Q)
|
100% |
3475
41.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5590
43.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10970
84.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7736
60.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18608
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
29222
37.6 IPS |
|
|
Style Transfer (Q)
|
96% |
24185
31.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4053
149.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5128
189.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3740
138.1 IPS |
|
|
Text Classification (SP)
|
100% |
2305
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3903
5.21 KIPS |
|
|
Text Classification (Q)
|
93% |
3856
5.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
3711
63.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6388
110.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6366
110.0 IPS |
