iPad Pro 13-inch (M4)
Geekbench AI Score
4915
Single Precision Score
8012
Half Precision Score
6384
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 07 2025 07:12 PM |
| Views | 1 |
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, 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% |
2038
379.1 IPS |
|
|
Image Classification (HP)
|
100% |
3394
631.2 IPS |
|
|
Image Classification (Q)
|
96% |
2294
428.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2091
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3213
52.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3473
56.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9973
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19339
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16551
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2407
190.9 IPS |
|
|
Object Detection (HP)
|
97% |
3806
303.0 IPS |
|
|
Object Detection (Q)
|
94% |
2656
211.7 IPS |
|
|
Face Detection (SP)
|
100% |
4183
49.7 IPS |
|
|
Face Detection (HP)
|
100% |
7571
90.0 IPS |
|
|
Face Detection (Q)
|
100% |
4363
51.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8455
65.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
13944
107.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9849
76.9 IPS |
|
|
Style Transfer (SP)
|
100% |
24610
31.6 IPS |
|
|
Style Transfer (HP)
|
100% |
38682
49.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31715
40.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6161
227.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7220
266.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5036
185.9 IPS |
|
|
Text Classification (SP)
|
100% |
3317
4.43 KIPS |
|
|
Text Classification (HP)
|
99% |
5726
7.64 KIPS |
|
|
Text Classification (Q)
|
93% |
5858
7.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
4529
78.0 IPS |
|
|
Machine Translation (HP)
|
98% |
8051
139.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7995
138.2 IPS |
