iPad Pro 11-inch (M4)
Geekbench AI Score
4982
Single Precision Score
36345
Half Precision Score
51132
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 17 2026 01:26 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| Model | iPad Pro 11-inch (M4) |
| Model ID | iPad16,3 |
| Motherboard | J717AP |
| 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% |
2100
390.5 IPS |
|
|
Image Classification (HP)
|
100% |
17138
3.19 KIPS |
|
|
Image Classification (Q)
|
97% |
23431
4.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2141
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
22401
363.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
30964
501.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10001
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123439
144.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
233263
273.4 IPS |
|
|
Object Detection (SP)
|
100% |
2458
195.0 IPS |
|
|
Object Detection (HP)
|
100% |
17936
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
26131
2.09 KIPS |
|
|
Face Detection (SP)
|
100% |
4274
50.8 IPS |
|
|
Face Detection (HP)
|
100% |
42941
510.2 IPS |
|
|
Face Detection (Q)
|
100% |
62771
745.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8518
65.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
98878
761.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
166335
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
24310
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
233979
300.8 IPS |
|
|
Style Transfer (Q)
|
96% |
319986
412.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6083
224.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50527
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83019
3.07 KIPS |
|
|
Text Classification (SP)
|
100% |
3426
4.57 KIPS |
|
|
Text Classification (HP)
|
99% |
5700
7.61 KIPS |
|
|
Text Classification (Q)
|
93% |
5505
7.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
4623
79.6 IPS |
|
|
Machine Translation (HP)
|
100% |
16542
284.9 IPS |
|
|
Machine Translation (Q)
|
98% |
18093
312.7 IPS |
