iPad Pro 13-inch (M4)
Geekbench AI Score
4979
Single Precision Score
8099
Half Precision Score
6460
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | February 09 2026 03:57 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
2114
393.2 IPS |
|
|
Image Classification (HP)
|
100% |
3401
632.4 IPS |
|
|
Image Classification (Q)
|
96% |
2360
440.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2168
35.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3249
52.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3573
57.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10073
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19524
22.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
16672
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2446
194.1 IPS |
|
|
Object Detection (HP)
|
97% |
3801
302.6 IPS |
|
|
Object Detection (Q)
|
94% |
2711
216.1 IPS |
|
|
Face Detection (SP)
|
100% |
4309
51.2 IPS |
|
|
Face Detection (HP)
|
100% |
7801
92.7 IPS |
|
|
Face Detection (Q)
|
100% |
4452
52.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8564
66.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14173
109.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9972
77.8 IPS |
|
|
Style Transfer (SP)
|
100% |
24526
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
38717
49.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31886
41.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6099
225.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7141
263.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4961
183.2 IPS |
|
|
Text Classification (SP)
|
100% |
3254
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
5944
7.93 KIPS |
|
|
Text Classification (Q)
|
93% |
5861
7.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
4621
79.6 IPS |
|
|
Machine Translation (HP)
|
98% |
8152
140.9 IPS |
|
|
Machine Translation (Q)
|
98% |
8078
139.6 IPS |
