iPad Pro (11-inch, 4th generation)
Geekbench AI Score
3453
Single Precision Score
5950
Half Precision Score
4830
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 23 2024 08:09 PM |
| Views | 31 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
2531
470.8 IPS |
|
|
Image Classification (Q)
|
96% |
1765
329.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1532
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2463
39.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2840
46.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6884
8.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
14836
17.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12964
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1567
124.3 IPS |
|
|
Object Detection (HP)
|
97% |
2883
229.6 IPS |
|
|
Object Detection (Q)
|
94% |
2073
165.2 IPS |
|
|
Face Detection (SP)
|
100% |
3140
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
6224
73.9 IPS |
|
|
Face Detection (Q)
|
100% |
3587
42.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5691
43.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
11567
89.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7977
62.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18912
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
28530
36.7 IPS |
|
|
Style Transfer (Q)
|
96% |
23754
30.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4048
149.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4864
179.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3611
133.4 IPS |
|
|
Text Classification (SP)
|
100% |
2166
2.89 KIPS |
|
|
Text Classification (HP)
|
100% |
3651
4.87 KIPS |
|
|
Text Classification (Q)
|
93% |
3647
4.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
3554
61.2 IPS |
|
|
Machine Translation (HP)
|
98% |
5720
98.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5740
99.2 IPS |
