iPad Pro 13-inch (M4)
Geekbench AI Score
8995
Single Precision Score
10771
Half Precision Score
9751
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | March 31 2025 12:32 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| Model | iPad Pro 13-inch (M4) |
| Model ID | iPad16,5 |
| Motherboard | J720AP |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.06 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4676
869.5 IPS |
|
|
Image Classification (HP)
|
100% |
4888
909.0 IPS |
|
|
Image Classification (Q)
|
97% |
4215
786.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
4725
76.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
6737
109.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
7206
116.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
28143
32.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
30208
35.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
28698
33.6 IPS |
|
|
Object Detection (SP)
|
100% |
4679
371.1 IPS |
|
|
Object Detection (HP)
|
100% |
5246
416.1 IPS |
|
|
Object Detection (Q)
|
91% |
4484
358.3 IPS |
|
|
Face Detection (SP)
|
100% |
12717
151.1 IPS |
|
|
Face Detection (HP)
|
100% |
16407
195.0 IPS |
|
|
Face Detection (Q)
|
100% |
11936
141.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
20408
157.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
22527
173.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
19510
152.5 IPS |
|
|
Style Transfer (SP)
|
100% |
56221
72.3 IPS |
|
|
Style Transfer (HP)
|
100% |
67218
86.4 IPS |
|
|
Style Transfer (Q)
|
96% |
62730
81.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11746
433.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12790
472.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10429
385.1 IPS |
|
|
Text Classification (SP)
|
100% |
3522
4.70 KIPS |
|
|
Text Classification (HP)
|
100% |
6285
8.39 KIPS |
|
|
Text Classification (Q)
|
93% |
6228
8.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
1975
34.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2018
34.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2097
36.2 IPS |
