iPad Pro 13-inch (M4)
Geekbench AI Score
8753
Single Precision Score
10607
Half Precision Score
9559
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | dynamiteCobra88 |
| Upload Date | March 25 2025 09:03 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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% |
4398
818.0 IPS |
|
|
Image Classification (HP)
|
100% |
4842
900.4 IPS |
|
|
Image Classification (Q)
|
97% |
4113
767.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
4804
77.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
6706
108.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
7113
115.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
27799
32.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
29847
34.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
28412
33.3 IPS |
|
|
Object Detection (SP)
|
100% |
4458
353.6 IPS |
|
|
Object Detection (HP)
|
100% |
5198
412.3 IPS |
|
|
Object Detection (Q)
|
91% |
4415
352.8 IPS |
|
|
Face Detection (SP)
|
100% |
12728
151.2 IPS |
|
|
Face Detection (HP)
|
100% |
16462
195.6 IPS |
|
|
Face Detection (Q)
|
100% |
11954
142.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
20135
155.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
22410
172.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
19147
149.7 IPS |
|
|
Style Transfer (SP)
|
100% |
57079
73.4 IPS |
|
|
Style Transfer (HP)
|
100% |
66216
85.1 IPS |
|
|
Style Transfer (Q)
|
96% |
62568
80.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11730
433.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12716
469.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10350
382.2 IPS |
|
|
Text Classification (SP)
|
100% |
3001
4.01 KIPS |
|
|
Text Classification (HP)
|
100% |
5603
7.48 KIPS |
|
|
Text Classification (Q)
|
93% |
5628
7.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
1959
33.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2058
35.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2081
36.0 IPS |
