iPad Pro 13-inch (M4)
Geekbench AI Score
4968
Single Precision Score
8035
Half Precision Score
6453
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | ks5z |
| Upload Date | March 19 2026 12:39 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.3.1 |
| 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% |
2115
393.4 IPS |
|
|
Image Classification (HP)
|
100% |
3398
632.0 IPS |
|
|
Image Classification (Q)
|
96% |
2362
441.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2173
35.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3252
52.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3593
58.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10027
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19448
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16656
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2433
193.0 IPS |
|
|
Object Detection (HP)
|
97% |
3821
304.2 IPS |
|
|
Object Detection (Q)
|
94% |
2739
218.4 IPS |
|
|
Face Detection (SP)
|
100% |
4247
50.5 IPS |
|
|
Face Detection (HP)
|
100% |
7660
91.0 IPS |
|
|
Face Detection (Q)
|
100% |
4442
52.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8531
65.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14159
109.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9967
77.8 IPS |
|
|
Style Transfer (SP)
|
100% |
24503
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
38667
49.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31880
41.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6025
222.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6977
257.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4935
182.2 IPS |
|
|
Text Classification (SP)
|
100% |
3321
4.43 KIPS |
|
|
Text Classification (HP)
|
99% |
5805
7.75 KIPS |
|
|
Text Classification (Q)
|
93% |
5770
7.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
4603
79.3 IPS |
|
|
Machine Translation (HP)
|
98% |
8044
139.0 IPS |
|
|
Machine Translation (Q)
|
98% |
8051
139.1 IPS |
