iPad Pro 13-inch (M4)
Geekbench AI Score
4751
Single Precision Score
7862
Half Precision Score
6300
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | blix742 |
| Upload Date | February 10 2025 10:23 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2002
372.3 IPS |
|
|
Image Classification (HP)
|
100% |
3339
620.9 IPS |
|
|
Image Classification (Q)
|
96% |
2325
434.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2147
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3341
54.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3667
59.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10065
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19079
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16461
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2249
178.4 IPS |
|
|
Object Detection (HP)
|
97% |
3786
301.4 IPS |
|
|
Object Detection (Q)
|
94% |
2703
215.4 IPS |
|
|
Face Detection (SP)
|
100% |
4015
47.7 IPS |
|
|
Face Detection (HP)
|
100% |
7815
92.9 IPS |
|
|
Face Detection (Q)
|
100% |
4495
53.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8316
64.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14679
113.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10175
79.4 IPS |
|
|
Style Transfer (SP)
|
100% |
25054
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
37930
48.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31466
40.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5826
215.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6816
251.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4916
181.5 IPS |
|
|
Text Classification (SP)
|
100% |
3146
4.20 KIPS |
|
|
Text Classification (HP)
|
100% |
5529
7.38 KIPS |
|
|
Text Classification (Q)
|
93% |
5392
7.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3933
67.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6829
118.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6808
117.6 IPS |
