iPad Pro 13-inch (M4)
Geekbench AI Score
4775
Single Precision Score
7851
Half Precision Score
6272
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | yazkimkim |
| Upload Date | September 08 2025 10:11 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
2034
378.2 IPS |
|
|
Image Classification (HP)
|
100% |
3337
620.5 IPS |
|
|
Image Classification (Q)
|
96% |
2254
420.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2030
32.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3095
50.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3402
55.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9692
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
18854
22.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
16130
18.9 IPS |
|
|
Object Detection (SP)
|
100% |
2367
187.7 IPS |
|
|
Object Detection (HP)
|
97% |
3767
299.9 IPS |
|
|
Object Detection (Q)
|
94% |
2610
208.1 IPS |
|
|
Face Detection (SP)
|
100% |
3988
47.4 IPS |
|
|
Face Detection (HP)
|
100% |
7384
87.7 IPS |
|
|
Face Detection (Q)
|
100% |
4233
50.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8201
63.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
13554
104.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9761
76.2 IPS |
|
|
Style Transfer (SP)
|
100% |
23465
30.2 IPS |
|
|
Style Transfer (HP)
|
100% |
38361
49.3 IPS |
|
|
Style Transfer (Q)
|
96% |
31273
40.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5971
220.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7079
261.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5046
186.3 IPS |
|
|
Text Classification (SP)
|
100% |
3229
4.31 KIPS |
|
|
Text Classification (HP)
|
99% |
5743
7.67 KIPS |
|
|
Text Classification (Q)
|
93% |
5767
7.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
4398
75.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7771
134.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7766
134.2 IPS |
