iPad Pro 11-inch (M4)
Geekbench AI Score
4932
Single Precision Score
8066
Half Precision Score
6401
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 29 2025 09:59 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPad Pro 11-inch (M4) |
| Model ID | iPad16,4 |
| Motherboard | J718AP |
| 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% |
2085
387.8 IPS |
|
|
Image Classification (HP)
|
100% |
3419
635.9 IPS |
|
|
Image Classification (Q)
|
96% |
2301
429.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2099
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3239
52.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3496
56.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9985
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19407
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16605
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2425
192.3 IPS |
|
|
Object Detection (HP)
|
97% |
3842
305.9 IPS |
|
|
Object Detection (Q)
|
94% |
2692
214.6 IPS |
|
|
Face Detection (SP)
|
100% |
4261
50.6 IPS |
|
|
Face Detection (HP)
|
100% |
7649
90.9 IPS |
|
|
Face Detection (Q)
|
100% |
4374
52.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8476
65.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
13974
108.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9796
76.5 IPS |
|
|
Style Transfer (SP)
|
100% |
24223
31.1 IPS |
|
|
Style Transfer (HP)
|
100% |
39365
50.6 IPS |
|
|
Style Transfer (Q)
|
96% |
32168
41.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6059
223.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7236
267.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5027
185.6 IPS |
|
|
Text Classification (SP)
|
100% |
3323
4.44 KIPS |
|
|
Text Classification (HP)
|
99% |
5727
7.64 KIPS |
|
|
Text Classification (Q)
|
93% |
5735
7.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
4567
78.7 IPS |
|
|
Machine Translation (HP)
|
98% |
8101
140.0 IPS |
|
|
Machine Translation (Q)
|
98% |
8089
139.8 IPS |
