iPad Pro 13-inch (M4)
Geekbench AI Score
4932
Single Precision Score
7931
Half Precision Score
6391
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 15 2025 03:54 PM |
| 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 | iPad16,6 |
| 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% |
2085
387.8 IPS |
|
|
Image Classification (HP)
|
100% |
3391
630.6 IPS |
|
|
Image Classification (Q)
|
96% |
2317
432.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2134
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3139
50.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3508
56.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10007
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19502
22.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
16645
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2433
192.9 IPS |
|
|
Object Detection (HP)
|
97% |
3759
299.3 IPS |
|
|
Object Detection (Q)
|
94% |
2682
213.8 IPS |
|
|
Face Detection (SP)
|
100% |
4215
50.1 IPS |
|
|
Face Detection (HP)
|
100% |
7341
87.2 IPS |
|
|
Face Detection (Q)
|
100% |
4366
51.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8529
65.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14013
108.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9854
76.9 IPS |
|
|
Style Transfer (SP)
|
100% |
23558
30.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38622
49.6 IPS |
|
|
Style Transfer (Q)
|
96% |
31739
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6019
222.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7181
265.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5030
185.7 IPS |
|
|
Text Classification (SP)
|
100% |
3373
4.50 KIPS |
|
|
Text Classification (HP)
|
99% |
5756
7.68 KIPS |
|
|
Text Classification (Q)
|
93% |
5709
7.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
4576
78.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7685
132.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7992
138.1 IPS |
