iPad Pro 11-inch (M4)
Geekbench AI Score
4935
Single Precision Score
8065
Half Precision Score
6410
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 17 2026 10:02 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| Model | iPad Pro 11-inch (M4) |
| Model ID | iPad16,4 |
| Motherboard | J718AP |
| 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 | 7.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2103
391.0 IPS |
|
|
Image Classification (HP)
|
100% |
3414
634.8 IPS |
|
|
Image Classification (Q)
|
96% |
2367
442.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2112
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3187
51.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3532
57.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10046
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19476
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16643
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2430
192.8 IPS |
|
|
Object Detection (HP)
|
97% |
3829
304.8 IPS |
|
|
Object Detection (Q)
|
94% |
2703
215.5 IPS |
|
|
Face Detection (SP)
|
100% |
4243
50.4 IPS |
|
|
Face Detection (HP)
|
100% |
7666
91.1 IPS |
|
|
Face Detection (Q)
|
100% |
4396
52.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8483
65.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14029
108.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9879
77.1 IPS |
|
|
Style Transfer (SP)
|
100% |
24320
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38686
49.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31688
40.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6089
224.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7193
265.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5000
184.6 IPS |
|
|
Text Classification (SP)
|
100% |
3250
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
5967
7.96 KIPS |
|
|
Text Classification (Q)
|
93% |
5671
7.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
4569
78.7 IPS |
|
|
Machine Translation (HP)
|
98% |
8041
138.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7989
138.1 IPS |
