iPad Pro 13-inch (M4)
Geekbench AI Score
4824
Single Precision Score
7942
Half Precision Score
6321
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | mesoblaste |
| Upload Date | May 26 2025 09:24 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| Model | iPad Pro 13-inch (M4) |
| Model ID | iPad16,6 |
| Motherboard | J721AP |
| 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 | 7.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2057
382.6 IPS |
|
|
Image Classification (HP)
|
100% |
3342
621.5 IPS |
|
|
Image Classification (Q)
|
96% |
2295
428.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2154
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3242
52.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3550
57.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9939
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19456
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16638
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2413
191.4 IPS |
|
|
Object Detection (HP)
|
97% |
3790
301.7 IPS |
|
|
Object Detection (Q)
|
94% |
2687
214.2 IPS |
|
|
Face Detection (SP)
|
100% |
4292
51.0 IPS |
|
|
Face Detection (HP)
|
100% |
7737
91.9 IPS |
|
|
Face Detection (Q)
|
100% |
4402
52.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8601
66.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14544
112.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10175
79.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21632
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
38254
49.2 IPS |
|
|
Style Transfer (Q)
|
96% |
31460
40.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6094
225.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7199
265.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5068
187.1 IPS |
|
|
Text Classification (SP)
|
100% |
2999
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
5638
7.53 KIPS |
|
|
Text Classification (Q)
|
93% |
5473
7.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
4404
75.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7153
123.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7159
123.7 IPS |
