iPad Pro 11-inch (M4)
Geekbench AI Score
4845
Single Precision Score
7943
Half Precision Score
6362
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 22 2025 12:11 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
2103
391.1 IPS |
|
|
Image Classification (HP)
|
100% |
3386
629.6 IPS |
|
|
Image Classification (Q)
|
96% |
2340
437.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2206
35.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3294
53.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3644
59.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10029
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19504
22.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
16678
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2430
192.7 IPS |
|
|
Object Detection (HP)
|
97% |
3799
302.4 IPS |
|
|
Object Detection (Q)
|
94% |
2697
215.0 IPS |
|
|
Face Detection (SP)
|
100% |
4302
51.1 IPS |
|
|
Face Detection (HP)
|
100% |
7767
92.3 IPS |
|
|
Face Detection (Q)
|
100% |
4468
53.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8601
66.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14636
113.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10236
79.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21915
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
38307
49.2 IPS |
|
|
Style Transfer (Q)
|
96% |
31684
40.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6103
225.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7160
264.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5037
186.0 IPS |
|
|
Text Classification (SP)
|
100% |
2912
3.89 KIPS |
|
|
Text Classification (HP)
|
100% |
5415
7.23 KIPS |
|
|
Text Classification (Q)
|
93% |
5480
7.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
4376
75.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7169
123.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7082
122.4 IPS |
