iPad Pro 11-inch (M4)
Geekbench AI Score
4871
Single Precision Score
7990
Half Precision Score
6351
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | notakaos |
| Upload Date | April 18 2025 12:10 PM |
| Views | 10 |
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% |
2062
383.5 IPS |
|
|
Image Classification (HP)
|
100% |
3394
631.2 IPS |
|
|
Image Classification (Q)
|
96% |
2329
435.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2217
35.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3304
53.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3564
57.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9972
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19478
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16649
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2422
192.1 IPS |
|
|
Object Detection (HP)
|
97% |
3784
301.2 IPS |
|
|
Object Detection (Q)
|
94% |
2684
213.9 IPS |
|
|
Face Detection (SP)
|
100% |
4299
51.1 IPS |
|
|
Face Detection (HP)
|
100% |
7703
91.5 IPS |
|
|
Face Detection (Q)
|
100% |
4415
52.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8633
66.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14628
113.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10216
79.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21637
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
38537
49.5 IPS |
|
|
Style Transfer (Q)
|
96% |
31658
40.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6094
225.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7337
270.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5094
188.1 IPS |
|
|
Text Classification (SP)
|
100% |
3106
4.15 KIPS |
|
|
Text Classification (HP)
|
100% |
5577
7.44 KIPS |
|
|
Text Classification (Q)
|
93% |
5482
7.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
4489
77.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7226
124.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7227
124.9 IPS |
