iPad Pro (11-inch, 4th generation)
Geekbench AI Score
3221
Single Precision Score
4741
Half Precision Score
4059
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | wp4 |
| Upload Date | September 07 2024 11:00 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 7.33 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1512
281.2 IPS |
|
|
Image Classification (HP)
|
100% |
1929
358.8 IPS |
|
|
Image Classification (Q)
|
96% |
1446
270.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1314
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1294
21.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
1839
29.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6125
7.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
14436
16.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
12421
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1604
127.2 IPS |
|
|
Object Detection (HP)
|
97% |
2272
180.8 IPS |
|
|
Object Detection (Q)
|
94% |
1738
138.6 IPS |
|
|
Face Detection (SP)
|
100% |
2884
34.3 IPS |
|
|
Face Detection (HP)
|
100% |
4470
53.1 IPS |
|
|
Face Detection (Q)
|
100% |
2888
34.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5381
41.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
8641
66.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
6516
50.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17373
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
26992
34.7 IPS |
|
|
Style Transfer (Q)
|
96% |
22662
29.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3628
134.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4835
178.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3619
133.6 IPS |
|
|
Text Classification (SP)
|
100% |
2220
2.96 KIPS |
|
|
Text Classification (HP)
|
100% |
3123
4.17 KIPS |
|
|
Text Classification (Q)
|
93% |
3085
4.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
2841
48.9 IPS |
|
|
Machine Translation (HP)
|
98% |
4452
76.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4448
76.9 IPS |
