iPad Pro 11-inch (M4)
Geekbench AI Score
4842
Single Precision Score
7951
Half Precision Score
6387
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 23 2025 01:36 AM |
| 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% |
2081
387.0 IPS |
|
|
Image Classification (HP)
|
100% |
3375
627.6 IPS |
|
|
Image Classification (Q)
|
96% |
2341
437.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2213
35.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3246
52.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3623
58.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10022
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19521
22.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
16656
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2417
191.8 IPS |
|
|
Object Detection (HP)
|
97% |
3799
302.4 IPS |
|
|
Object Detection (Q)
|
94% |
2691
214.5 IPS |
|
|
Face Detection (SP)
|
100% |
4300
51.1 IPS |
|
|
Face Detection (HP)
|
100% |
7733
91.9 IPS |
|
|
Face Detection (Q)
|
100% |
4436
52.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8603
66.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14585
112.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10213
79.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21728
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
38199
49.1 IPS |
|
|
Style Transfer (Q)
|
96% |
31622
40.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6064
223.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7226
266.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5051
186.5 IPS |
|
|
Text Classification (SP)
|
100% |
2941
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5497
7.34 KIPS |
|
|
Text Classification (Q)
|
93% |
5787
7.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
4433
76.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7265
125.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7097
122.6 IPS |
