iPad Pro (11-inch, 4th generation)
Geekbench AI Score
3436
Single Precision Score
26475
Half Precision Score
28949
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 10 2025 05:54 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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% |
1371
255.0 IPS |
|
|
Image Classification (HP)
|
100% |
14926
2.78 KIPS |
|
|
Image Classification (Q)
|
96% |
15278
2.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1471
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
19792
320.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
23781
385.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6842
7.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
104189
121.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
106394
124.7 IPS |
|
|
Object Detection (SP)
|
100% |
1531
121.4 IPS |
|
|
Object Detection (HP)
|
99% |
15577
1.24 KIPS |
|
|
Object Detection (Q)
|
91% |
16986
1.36 KIPS |
|
|
Face Detection (SP)
|
100% |
3108
36.9 IPS |
|
|
Face Detection (HP)
|
100% |
33716
400.6 IPS |
|
|
Face Detection (Q)
|
100% |
42836
509.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5528
42.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
86792
668.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
107832
842.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18615
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
201419
258.9 IPS |
|
|
Style Transfer (Q)
|
96% |
193232
249.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3922
144.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37464
1.38 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42604
1.57 KIPS |
|
|
Text Classification (SP)
|
100% |
2266
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
3815
5.09 KIPS |
|
|
Text Classification (Q)
|
93% |
3807
5.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
3827
65.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4189
72.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4349
75.2 IPS |
