iPad Pro 13-inch (M4)
Geekbench AI Score
4958
Single Precision Score
8026
Half Precision Score
6476
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | gkoblavi |
| Upload Date | October 18 2025 11:54 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad Pro 13-inch (M4) |
| Model ID | iPad16,6 |
| Motherboard | J721AP |
| 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% |
2130
396.2 IPS |
|
|
Image Classification (HP)
|
100% |
3369
626.6 IPS |
|
|
Image Classification (Q)
|
96% |
2349
438.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2153
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3234
52.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3578
58.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10081
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19476
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16692
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
2467
195.7 IPS |
|
|
Object Detection (HP)
|
97% |
3851
306.6 IPS |
|
|
Object Detection (Q)
|
94% |
2764
220.3 IPS |
|
|
Face Detection (SP)
|
100% |
4296
51.0 IPS |
|
|
Face Detection (HP)
|
100% |
7746
92.0 IPS |
|
|
Face Detection (Q)
|
100% |
4476
53.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8562
66.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14202
109.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10014
78.2 IPS |
|
|
Style Transfer (SP)
|
100% |
24373
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38826
49.9 IPS |
|
|
Style Transfer (Q)
|
96% |
31944
41.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6026
222.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7033
259.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4957
183.0 IPS |
|
|
Text Classification (SP)
|
100% |
3180
4.24 KIPS |
|
|
Text Classification (HP)
|
99% |
5604
7.48 KIPS |
|
|
Text Classification (Q)
|
93% |
5878
7.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
4588
79.0 IPS |
|
|
Machine Translation (HP)
|
98% |
8067
139.4 IPS |
|
|
Machine Translation (Q)
|
98% |
8020
138.6 IPS |
