iPad Pro 13-inch (M4)
Geekbench AI Score
8826
Single Precision Score
10590
Half Precision Score
9598
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 05 2025 08:00 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| Model | iPad Pro 13-inch (M4) |
| Model ID | iPad16,5 |
| Motherboard | J720AP |
| 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 | 7.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4419
821.8 IPS |
|
|
Image Classification (HP)
|
100% |
4794
891.5 IPS |
|
|
Image Classification (Q)
|
97% |
4118
768.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
4847
78.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
6718
108.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
7146
115.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
28220
32.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
30039
35.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
28617
33.5 IPS |
|
|
Object Detection (SP)
|
100% |
4686
371.7 IPS |
|
|
Object Detection (HP)
|
100% |
5196
412.2 IPS |
|
|
Object Detection (Q)
|
91% |
4404
351.9 IPS |
|
|
Face Detection (SP)
|
100% |
12897
153.3 IPS |
|
|
Face Detection (HP)
|
100% |
16395
194.8 IPS |
|
|
Face Detection (Q)
|
100% |
11990
142.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
20255
156.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
22337
172.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
19297
150.8 IPS |
|
|
Style Transfer (SP)
|
100% |
57311
73.7 IPS |
|
|
Style Transfer (HP)
|
100% |
67424
86.7 IPS |
|
|
Style Transfer (Q)
|
96% |
62938
81.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11496
424.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12612
465.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10594
391.2 IPS |
|
|
Text Classification (SP)
|
100% |
2972
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
5395
7.20 KIPS |
|
|
Text Classification (Q)
|
93% |
5558
7.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
1982
34.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2102
36.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2088
36.1 IPS |
