iPad Pro 13-inch (M4)
Geekbench AI Score
4919
Single Precision Score
7996
Half Precision Score
6355
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 20 2025 03:42 AM |
| Views | 1 |
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 | iPad16,6 |
| 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% |
2050
381.3 IPS |
|
|
Image Classification (HP)
|
100% |
3372
627.1 IPS |
|
|
Image Classification (Q)
|
96% |
2291
427.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2124
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3152
51.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3486
56.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9851
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
19366
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16548
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2405
190.8 IPS |
|
|
Object Detection (HP)
|
97% |
3774
300.5 IPS |
|
|
Object Detection (Q)
|
94% |
2668
212.7 IPS |
|
|
Face Detection (SP)
|
100% |
4173
49.6 IPS |
|
|
Face Detection (HP)
|
100% |
7494
89.0 IPS |
|
|
Face Detection (Q)
|
100% |
4307
51.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8486
65.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
13828
106.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9810
76.6 IPS |
|
|
Style Transfer (SP)
|
100% |
23915
30.7 IPS |
|
|
Style Transfer (HP)
|
100% |
38468
49.5 IPS |
|
|
Style Transfer (Q)
|
96% |
31642
40.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5944
219.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7181
265.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4994
184.4 IPS |
|
|
Text Classification (SP)
|
100% |
3486
4.65 KIPS |
|
|
Text Classification (HP)
|
99% |
6102
8.14 KIPS |
|
|
Text Classification (Q)
|
93% |
5791
7.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
4585
79.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7881
136.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7889
136.3 IPS |
