iPad Pro 11-inch (M4)
Geekbench AI Score
4958
Single Precision Score
8050
Half Precision Score
6464
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 10 2025 11:50 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
2106
391.7 IPS |
|
|
Image Classification (HP)
|
100% |
3395
631.3 IPS |
|
|
Image Classification (Q)
|
96% |
2362
441.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2166
35.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3233
52.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3579
58.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10072
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19521
22.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
16691
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
2440
193.5 IPS |
|
|
Object Detection (HP)
|
97% |
3824
304.4 IPS |
|
|
Object Detection (Q)
|
94% |
2726
217.3 IPS |
|
|
Face Detection (SP)
|
100% |
4247
50.5 IPS |
|
|
Face Detection (HP)
|
100% |
7649
90.9 IPS |
|
|
Face Detection (Q)
|
100% |
4431
52.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8570
66.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14167
109.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9995
78.0 IPS |
|
|
Style Transfer (SP)
|
100% |
24541
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
38773
49.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31846
41.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6096
225.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7128
263.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4968
183.5 IPS |
|
|
Text Classification (SP)
|
100% |
3226
4.31 KIPS |
|
|
Text Classification (HP)
|
99% |
5755
7.68 KIPS |
|
|
Text Classification (Q)
|
93% |
5831
7.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
4564
78.6 IPS |
|
|
Machine Translation (HP)
|
98% |
8099
139.9 IPS |
|
|
Machine Translation (Q)
|
98% |
8115
140.2 IPS |
