iPad Pro 13-inch (M4)
Geekbench AI Score
4922
Single Precision Score
8016
Half Precision Score
6401
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | Psycleracer |
| Upload Date | August 26 2025 09:48 PM |
| Views | 5 |
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, 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% |
2079
386.5 IPS |
|
|
Image Classification (HP)
|
100% |
3436
639.0 IPS |
|
|
Image Classification (Q)
|
96% |
2331
435.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2111
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3188
51.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3508
56.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9950
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19441
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16660
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2430
192.8 IPS |
|
|
Object Detection (HP)
|
97% |
3755
299.0 IPS |
|
|
Object Detection (Q)
|
94% |
2682
213.8 IPS |
|
|
Face Detection (SP)
|
100% |
4228
50.2 IPS |
|
|
Face Detection (HP)
|
100% |
7584
90.1 IPS |
|
|
Face Detection (Q)
|
100% |
4360
51.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8484
65.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
13960
107.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9804
76.5 IPS |
|
|
Style Transfer (SP)
|
100% |
24461
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
39393
50.6 IPS |
|
|
Style Transfer (Q)
|
96% |
32192
41.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5980
220.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7202
265.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5024
185.5 IPS |
|
|
Text Classification (SP)
|
100% |
3265
4.36 KIPS |
|
|
Text Classification (HP)
|
99% |
5699
7.61 KIPS |
|
|
Text Classification (Q)
|
93% |
5659
7.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
4595
79.2 IPS |
|
|
Machine Translation (HP)
|
98% |
8008
138.4 IPS |
|
|
Machine Translation (Q)
|
98% |
8089
139.8 IPS |
