iPad Pro 13-inch (M4)
Geekbench AI Score
9501
Single Precision Score
11235
Half Precision Score
10341
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | dynamiteCobra88 |
| Upload Date | April 10 2025 06:31 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
4445
826.5 IPS |
|
|
Image Classification (HP)
|
100% |
4830
898.2 IPS |
|
|
Image Classification (Q)
|
96% |
4513
842.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
7111
115.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
7913
128.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
7648
124.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
27707
32.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
29805
34.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
29057
34.0 IPS |
|
|
Object Detection (SP)
|
100% |
4559
361.6 IPS |
|
|
Object Detection (HP)
|
100% |
5182
411.0 IPS |
|
|
Object Detection (Q)
|
92% |
4799
383.1 IPS |
|
|
Face Detection (SP)
|
100% |
12639
150.2 IPS |
|
|
Face Detection (HP)
|
100% |
16566
196.8 IPS |
|
|
Face Detection (Q)
|
100% |
13345
158.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
20372
157.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
22398
172.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
20753
162.3 IPS |
|
|
Style Transfer (SP)
|
100% |
56105
72.1 IPS |
|
|
Style Transfer (HP)
|
100% |
66463
85.4 IPS |
|
|
Style Transfer (Q)
|
96% |
64529
83.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12455
459.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13730
507.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11176
412.7 IPS |
|
|
Text Classification (SP)
|
100% |
2957
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5736
7.66 KIPS |
|
|
Text Classification (Q)
|
93% |
5696
7.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
2823
48.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2796
48.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2555
44.1 IPS |
