iPad Pro 11-inch (M4)
Geekbench AI Score
4866
Single Precision Score
7936
Half Precision Score
6335
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | dgbrownnt |
| Upload Date | August 25 2025 06:00 AM |
| Views | 6 |
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% |
2054
381.9 IPS |
|
|
Image Classification (HP)
|
100% |
3360
624.9 IPS |
|
|
Image Classification (Q)
|
96% |
2306
430.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2227
36.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3284
53.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3588
58.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9997
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19459
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16631
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2422
192.1 IPS |
|
|
Object Detection (HP)
|
97% |
3777
300.7 IPS |
|
|
Object Detection (Q)
|
94% |
2682
213.8 IPS |
|
|
Face Detection (SP)
|
100% |
4245
50.4 IPS |
|
|
Face Detection (HP)
|
100% |
7694
91.4 IPS |
|
|
Face Detection (Q)
|
100% |
4415
52.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8637
66.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14552
112.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10164
79.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21598
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
38415
49.4 IPS |
|
|
Style Transfer (Q)
|
96% |
31528
40.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6081
224.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7338
271.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5092
188.0 IPS |
|
|
Text Classification (SP)
|
100% |
3130
4.18 KIPS |
|
|
Text Classification (HP)
|
100% |
5500
7.34 KIPS |
|
|
Text Classification (Q)
|
93% |
5557
7.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
4466
76.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7047
121.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7052
121.9 IPS |
