iPad Pro 13-inch (M4)
Geekbench AI Score
4847
Single Precision Score
7924
Half Precision Score
6344
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 11 2025 02:49 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
2056
382.4 IPS |
|
|
Image Classification (HP)
|
100% |
3341
621.3 IPS |
|
|
Image Classification (Q)
|
96% |
2313
431.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2206
35.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3254
52.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3592
58.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9962
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19426
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16588
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2407
190.9 IPS |
|
|
Object Detection (HP)
|
97% |
3765
299.7 IPS |
|
|
Object Detection (Q)
|
94% |
2694
214.7 IPS |
|
|
Face Detection (SP)
|
100% |
4289
51.0 IPS |
|
|
Face Detection (HP)
|
100% |
7743
92.0 IPS |
|
|
Face Detection (Q)
|
100% |
4451
52.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8556
65.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14502
112.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10162
79.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21555
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
38072
48.9 IPS |
|
|
Style Transfer (Q)
|
96% |
31438
40.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6083
224.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7201
265.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5055
186.7 IPS |
|
|
Text Classification (SP)
|
100% |
3103
4.14 KIPS |
|
|
Text Classification (HP)
|
100% |
5628
7.51 KIPS |
|
|
Text Classification (Q)
|
93% |
5601
7.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
4414
76.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7092
122.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7069
122.2 IPS |
