iPad Pro 11-inch (M4)
Geekbench AI Score
4871
Single Precision Score
7966
Half Precision Score
6403
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | croman247 |
| Upload Date | December 08 2025 01:07 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.7.2 |
| 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% |
2115
393.3 IPS |
|
|
Image Classification (HP)
|
100% |
3356
624.1 IPS |
|
|
Image Classification (Q)
|
96% |
2327
434.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2224
36.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3310
53.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3680
59.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9900
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19363
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16677
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2455
194.8 IPS |
|
|
Object Detection (HP)
|
97% |
3797
302.3 IPS |
|
|
Object Detection (Q)
|
94% |
2727
217.3 IPS |
|
|
Face Detection (SP)
|
100% |
4345
51.6 IPS |
|
|
Face Detection (HP)
|
100% |
7921
94.1 IPS |
|
|
Face Detection (Q)
|
100% |
4572
54.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8758
67.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14726
113.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10358
80.8 IPS |
|
|
Style Transfer (SP)
|
100% |
22074
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38411
49.4 IPS |
|
|
Style Transfer (Q)
|
96% |
31966
41.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6137
226.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7075
261.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4986
184.1 IPS |
|
|
Text Classification (SP)
|
100% |
2907
3.88 KIPS |
|
|
Text Classification (HP)
|
100% |
5644
7.53 KIPS |
|
|
Text Classification (Q)
|
93% |
5517
7.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
4396
75.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7051
121.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7153
123.6 IPS |
