iPad Pro (11-inch, 4th generation)
Geekbench AI Score
3461
Single Precision Score
5936
Half Precision Score
4812
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 06 2025 09:38 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 18.2.1 |
| 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 | 7.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1388
258.1 IPS |
|
|
Image Classification (HP)
|
100% |
2529
470.3 IPS |
|
|
Image Classification (Q)
|
96% |
1767
329.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1529
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2470
40.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2863
46.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6882
8.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
14787
17.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12620
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1560
123.7 IPS |
|
|
Object Detection (HP)
|
97% |
2886
229.8 IPS |
|
|
Object Detection (Q)
|
94% |
2075
165.4 IPS |
|
|
Face Detection (SP)
|
100% |
3168
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
6193
73.6 IPS |
|
|
Face Detection (Q)
|
100% |
3546
42.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5687
43.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
11582
89.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
8089
63.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18865
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
28480
36.6 IPS |
|
|
Style Transfer (Q)
|
96% |
23618
30.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4042
149.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4730
174.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3548
131.0 IPS |
|
|
Text Classification (SP)
|
100% |
2220
2.96 KIPS |
|
|
Text Classification (HP)
|
100% |
3683
4.92 KIPS |
|
|
Text Classification (Q)
|
93% |
3668
4.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
3552
61.2 IPS |
|
|
Machine Translation (HP)
|
98% |
5733
99.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5711
98.7 IPS |
