iPad Pro 11-inch (M4)
Geekbench AI Score
4724
Single Precision Score
7849
Half Precision Score
6256
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 07 2025 03:32 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.2.1 |
| Model | iPad Pro 11-inch (M4) |
| Model ID | iPad16,4 |
| Motherboard | J718AP |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 7.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2007
373.3 IPS |
|
|
Image Classification (HP)
|
100% |
3350
622.9 IPS |
|
|
Image Classification (Q)
|
96% |
2307
430.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2120
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3284
53.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3577
58.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10055
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19028
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16406
19.2 IPS |
|
|
Object Detection (SP)
|
100% |
2244
178.0 IPS |
|
|
Object Detection (HP)
|
97% |
3818
304.0 IPS |
|
|
Object Detection (Q)
|
94% |
2701
215.3 IPS |
|
|
Face Detection (SP)
|
100% |
3982
47.3 IPS |
|
|
Face Detection (HP)
|
100% |
7749
92.1 IPS |
|
|
Face Detection (Q)
|
100% |
4432
52.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8309
64.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14688
113.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10181
79.5 IPS |
|
|
Style Transfer (SP)
|
100% |
25133
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38007
48.9 IPS |
|
|
Style Transfer (Q)
|
96% |
31238
40.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5850
216.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6875
253.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4843
178.8 IPS |
|
|
Text Classification (SP)
|
100% |
3005
4.01 KIPS |
|
|
Text Classification (HP)
|
100% |
5414
7.23 KIPS |
|
|
Text Classification (Q)
|
93% |
5335
7.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
3950
68.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6902
119.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6906
119.3 IPS |
