iPad Pro 13-inch (M4)
Geekbench AI Score
4850
Single Precision Score
7898
Half Precision Score
6382
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 11 2025 07:32 PM |
| 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% |
2076
386.1 IPS |
|
|
Image Classification (HP)
|
100% |
3319
617.2 IPS |
|
|
Image Classification (Q)
|
96% |
2327
434.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2217
35.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3297
53.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3634
58.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9992
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19487
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16631
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2435
193.1 IPS |
|
|
Object Detection (HP)
|
97% |
3774
300.4 IPS |
|
|
Object Detection (Q)
|
94% |
2717
216.5 IPS |
|
|
Face Detection (SP)
|
100% |
4338
51.5 IPS |
|
|
Face Detection (HP)
|
100% |
7792
92.6 IPS |
|
|
Face Detection (Q)
|
100% |
4498
53.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8638
66.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14586
112.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10233
79.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21884
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
38271
49.2 IPS |
|
|
Style Transfer (Q)
|
96% |
31729
40.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6112
225.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7127
263.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4990
184.3 IPS |
|
|
Text Classification (SP)
|
100% |
2924
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
5371
7.17 KIPS |
|
|
Text Classification (Q)
|
93% |
5637
7.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
4389
75.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7056
121.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7145
123.5 IPS |
