iPad Pro 13-inch (M4)
Geekbench AI Score
4960
Single Precision Score
8001
Half Precision Score
6453
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 11 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 | iPad16,5 |
| Motherboard | J720AP |
| 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% |
2128
395.7 IPS |
|
|
Image Classification (HP)
|
100% |
3355
623.9 IPS |
|
|
Image Classification (Q)
|
96% |
2344
437.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2175
35.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3183
51.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3537
57.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10016
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19505
22.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
16660
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2442
193.7 IPS |
|
|
Object Detection (HP)
|
97% |
3824
304.4 IPS |
|
|
Object Detection (Q)
|
94% |
2718
216.7 IPS |
|
|
Face Detection (SP)
|
100% |
4281
50.9 IPS |
|
|
Face Detection (HP)
|
100% |
7701
91.5 IPS |
|
|
Face Detection (Q)
|
100% |
4446
52.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8568
66.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14127
109.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9979
77.9 IPS |
|
|
Style Transfer (SP)
|
100% |
24364
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38822
49.9 IPS |
|
|
Style Transfer (Q)
|
96% |
31895
41.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6065
223.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7094
261.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4977
183.8 IPS |
|
|
Text Classification (SP)
|
100% |
3207
4.28 KIPS |
|
|
Text Classification (HP)
|
99% |
5637
7.52 KIPS |
|
|
Text Classification (Q)
|
93% |
5902
7.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
4581
78.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7992
138.1 IPS |
|
|
Machine Translation (Q)
|
98% |
8029
138.7 IPS |
