iPad Pro 13-inch (M4)
Geekbench AI Score
4982
Single Precision Score
8060
Half Precision Score
6464
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Oosty |
| Upload Date | October 13 2025 09:01 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
2131
396.3 IPS |
|
|
Image Classification (HP)
|
100% |
3362
625.3 IPS |
|
|
Image Classification (Q)
|
96% |
2352
439.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2169
35.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3199
51.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3606
58.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10069
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19501
22.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
16677
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2446
194.0 IPS |
|
|
Object Detection (HP)
|
97% |
3811
303.4 IPS |
|
|
Object Detection (Q)
|
94% |
2709
215.9 IPS |
|
|
Face Detection (SP)
|
100% |
4313
51.2 IPS |
|
|
Face Detection (HP)
|
100% |
7740
92.0 IPS |
|
|
Face Detection (Q)
|
100% |
4413
52.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8562
66.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14174
109.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9974
77.8 IPS |
|
|
Style Transfer (SP)
|
100% |
24627
31.7 IPS |
|
|
Style Transfer (HP)
|
100% |
38753
49.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31863
41.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6104
225.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7079
261.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4973
183.6 IPS |
|
|
Text Classification (SP)
|
100% |
3228
4.31 KIPS |
|
|
Text Classification (HP)
|
99% |
5947
7.94 KIPS |
|
|
Text Classification (Q)
|
93% |
5925
7.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
4621
79.6 IPS |
|
|
Machine Translation (HP)
|
98% |
8093
139.8 IPS |
|
|
Machine Translation (Q)
|
98% |
8044
139.0 IPS |
