iPad Pro 11-inch (M4)
Geekbench AI Score
8757
Single Precision Score
10611
Half Precision Score
9495
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 11 2025 10:21 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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% |
4357
810.2 IPS |
|
|
Image Classification (HP)
|
100% |
4776
888.2 IPS |
|
|
Image Classification (Q)
|
97% |
4097
764.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
4811
78.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
6698
108.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
7154
116.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
27927
32.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
30047
35.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
28565
33.5 IPS |
|
|
Object Detection (SP)
|
100% |
4635
367.7 IPS |
|
|
Object Detection (HP)
|
100% |
5180
410.8 IPS |
|
|
Object Detection (Q)
|
91% |
4412
352.6 IPS |
|
|
Face Detection (SP)
|
100% |
12801
152.1 IPS |
|
|
Face Detection (HP)
|
100% |
16358
194.4 IPS |
|
|
Face Detection (Q)
|
100% |
11951
142.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
20208
155.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
22284
171.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
19242
150.4 IPS |
|
|
Style Transfer (SP)
|
100% |
57217
73.6 IPS |
|
|
Style Transfer (HP)
|
100% |
66561
85.6 IPS |
|
|
Style Transfer (Q)
|
96% |
62669
80.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11515
425.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12654
467.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10298
380.3 IPS |
|
|
Text Classification (SP)
|
100% |
2999
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
5621
7.50 KIPS |
|
|
Text Classification (Q)
|
93% |
5184
6.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
1913
33.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2106
36.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2097
36.2 IPS |
