iPad Pro 13-inch (M4)
Geekbench AI Score
4966
Single Precision Score
8067
Half Precision Score
6471
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | Fyrpm |
| Upload Date | January 03 2026 08:27 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
2122
394.7 IPS |
|
|
Image Classification (HP)
|
100% |
3391
630.6 IPS |
|
|
Image Classification (Q)
|
96% |
2364
441.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2105
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3167
51.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3564
57.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10062
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19463
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16706
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
2458
195.0 IPS |
|
|
Object Detection (HP)
|
97% |
3795
302.1 IPS |
|
|
Object Detection (Q)
|
94% |
2742
218.6 IPS |
|
|
Face Detection (SP)
|
100% |
4316
51.3 IPS |
|
|
Face Detection (HP)
|
100% |
7803
92.7 IPS |
|
|
Face Detection (Q)
|
100% |
4515
53.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8568
66.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14188
109.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10028
78.3 IPS |
|
|
Style Transfer (SP)
|
100% |
24767
31.8 IPS |
|
|
Style Transfer (HP)
|
100% |
38997
50.1 IPS |
|
|
Style Transfer (Q)
|
96% |
31993
41.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6110
225.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7237
267.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4938
182.3 IPS |
|
|
Text Classification (SP)
|
100% |
3217
4.29 KIPS |
|
|
Text Classification (HP)
|
99% |
5793
7.73 KIPS |
|
|
Text Classification (Q)
|
93% |
5742
7.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
4587
79.0 IPS |
|
|
Machine Translation (HP)
|
98% |
8131
140.5 IPS |
|
|
Machine Translation (Q)
|
98% |
8131
140.5 IPS |
