iPad Pro 11-inch (M4)
Geekbench AI Score
4862
Single Precision Score
7909
Half Precision Score
6323
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 15 2025 03:23 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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, 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% |
2095
389.5 IPS |
|
|
Image Classification (HP)
|
100% |
3362
625.1 IPS |
|
|
Image Classification (Q)
|
96% |
2344
437.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2205
35.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3270
53.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3585
58.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10033
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19486
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16661
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2428
192.6 IPS |
|
|
Object Detection (HP)
|
97% |
3777
300.7 IPS |
|
|
Object Detection (Q)
|
94% |
2695
214.8 IPS |
|
|
Face Detection (SP)
|
100% |
4345
51.6 IPS |
|
|
Face Detection (HP)
|
100% |
7767
92.3 IPS |
|
|
Face Detection (Q)
|
100% |
4464
53.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8631
66.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14547
112.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10183
79.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21883
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
38200
49.1 IPS |
|
|
Style Transfer (Q)
|
96% |
31575
40.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6113
225.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7202
265.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5054
186.6 IPS |
|
|
Text Classification (SP)
|
100% |
2940
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5377
7.18 KIPS |
|
|
Text Classification (Q)
|
93% |
5307
7.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
4450
76.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7082
122.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7033
121.5 IPS |
