iPad Pro 11-inch (M4)
Geekbench AI Score
9113
Single Precision Score
10522
Half Precision Score
9865
Quantized Score
Geekbench AI 1.4.0 Corporate for iOS AArch64
Result Information
| Upload Date | June 25 2025 12:45 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
4156
772.8 IPS |
|
|
Image Classification (HP)
|
100% |
4709
875.8 IPS |
|
|
Image Classification (Q)
|
96% |
4332
809.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
6904
111.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
7719
125.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
7445
120.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
26834
31.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
29407
34.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
28955
33.9 IPS |
|
|
Object Detection (SP)
|
100% |
4342
344.4 IPS |
|
|
Object Detection (HP)
|
100% |
5047
400.3 IPS |
|
|
Object Detection (Q)
|
92% |
4637
370.2 IPS |
|
|
Face Detection (SP)
|
100% |
12055
143.2 IPS |
|
|
Face Detection (HP)
|
100% |
15891
188.8 IPS |
|
|
Face Detection (Q)
|
100% |
12701
150.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
19597
151.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
21328
164.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
19832
154.9 IPS |
|
|
Style Transfer (SP)
|
100% |
54844
70.5 IPS |
|
|
Style Transfer (HP)
|
100% |
64499
82.9 IPS |
|
|
Style Transfer (Q)
|
96% |
62708
80.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11532
425.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11318
417.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10178
375.8 IPS |
|
|
Text Classification (SP)
|
100% |
2971
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
5344
7.13 KIPS |
|
|
Text Classification (Q)
|
93% |
5313
7.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
2662
45.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2334
40.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2361
40.8 IPS |
