iPad Pro 13-inch (M4)
Geekbench AI Score
4906
Single Precision Score
7953
Half Precision Score
6405
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 22 2025 03:30 AM |
| Views | 2 |
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% |
2123
394.9 IPS |
|
|
Image Classification (HP)
|
100% |
3355
623.8 IPS |
|
|
Image Classification (Q)
|
96% |
2340
436.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2081
33.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3165
51.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3542
57.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9931
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19420
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16629
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2443
193.8 IPS |
|
|
Object Detection (HP)
|
97% |
3777
300.7 IPS |
|
|
Object Detection (Q)
|
94% |
2702
215.3 IPS |
|
|
Face Detection (SP)
|
100% |
4219
50.1 IPS |
|
|
Face Detection (HP)
|
100% |
7622
90.6 IPS |
|
|
Face Detection (Q)
|
100% |
4420
52.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8529
65.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14094
109.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9937
77.6 IPS |
|
|
Style Transfer (SP)
|
100% |
23891
30.7 IPS |
|
|
Style Transfer (HP)
|
100% |
38695
49.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31894
41.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6008
221.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6963
257.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4967
183.4 IPS |
|
|
Text Classification (SP)
|
100% |
3199
4.27 KIPS |
|
|
Text Classification (HP)
|
99% |
5718
7.63 KIPS |
|
|
Text Classification (Q)
|
93% |
5701
7.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
4561
78.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7858
135.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7867
136.0 IPS |
