iPad Pro 11-inch (M4)
Geekbench AI Score
4943
Single Precision Score
36450
Half Precision Score
52074
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | LeKoala |
| Upload Date | March 02 2026 03:06 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| Model | iPad Pro 11-inch (M4) |
| Model ID | iPad16,3 |
| Motherboard | J717AP |
| 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 | 15.14 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2142
398.3 IPS |
|
|
Image Classification (HP)
|
100% |
16963
3.15 KIPS |
|
|
Image Classification (Q)
|
97% |
27933
5.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2113
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
22279
361.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
30634
496.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9978
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
122939
143.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
231411
271.2 IPS |
|
|
Object Detection (SP)
|
100% |
2437
193.3 IPS |
|
|
Object Detection (HP)
|
100% |
17522
1.39 KIPS |
|
|
Object Detection (Q)
|
91% |
25463
2.03 KIPS |
|
|
Face Detection (SP)
|
100% |
4243
50.4 IPS |
|
|
Face Detection (HP)
|
100% |
42637
506.6 IPS |
|
|
Face Detection (Q)
|
100% |
62560
743.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8582
66.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
98817
761.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
161550
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
24388
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
232590
299.0 IPS |
|
|
Style Transfer (Q)
|
96% |
319620
412.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6043
223.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51154
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84600
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3244
4.33 KIPS |
|
|
Text Classification (HP)
|
99% |
6087
8.12 KIPS |
|
|
Text Classification (Q)
|
93% |
5851
7.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
4545
78.3 IPS |
|
|
Machine Translation (HP)
|
100% |
16668
287.1 IPS |
|
|
Machine Translation (Q)
|
98% |
18190
314.4 IPS |
