iPad Pro 11-inch (M4)
Geekbench AI Score
4715
Single Precision Score
36823
Half Precision Score
52852
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | fug-mann |
| Upload Date | March 08 2025 09:58 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| Model | iPad Pro 11-inch (M4) |
| Model ID | iPad16,4 |
| Motherboard | J718AP |
| 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% |
1987
369.5 IPS |
|
|
Image Classification (HP)
|
100% |
17890
3.33 KIPS |
|
|
Image Classification (Q)
|
97% |
28079
5.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2105
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
22163
359.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
30604
496.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10013
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123489
144.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
232555
272.6 IPS |
|
|
Object Detection (SP)
|
100% |
2267
179.8 IPS |
|
|
Object Detection (HP)
|
100% |
18288
1.45 KIPS |
|
|
Object Detection (Q)
|
91% |
25564
2.04 KIPS |
|
|
Face Detection (SP)
|
100% |
4036
48.0 IPS |
|
|
Face Detection (HP)
|
100% |
42645
506.7 IPS |
|
|
Face Detection (Q)
|
100% |
63013
748.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8337
64.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
99930
769.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
167747
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
25118
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
234195
301.1 IPS |
|
|
Style Transfer (Q)
|
96% |
299848
386.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5851
216.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49761
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85309
3.15 KIPS |
|
|
Text Classification (SP)
|
100% |
2965
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
6230
8.32 KIPS |
|
|
Text Classification (Q)
|
93% |
6848
9.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
3907
67.3 IPS |
|
|
Machine Translation (HP)
|
100% |
16546
285.0 IPS |
|
|
Machine Translation (Q)
|
98% |
17980
310.7 IPS |
