iPad Pro 13-inch (M4)
Geekbench AI Score
4714
Single Precision Score
7786
Half Precision Score
6265
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 27 2024 12:10 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1999
371.7 IPS |
|
|
Image Classification (HP)
|
100% |
3333
619.9 IPS |
|
|
Image Classification (Q)
|
96% |
2330
435.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2148
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3317
53.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3656
59.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10019
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19043
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16436
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2240
177.7 IPS |
|
|
Object Detection (HP)
|
97% |
3794
302.1 IPS |
|
|
Object Detection (Q)
|
94% |
2687
214.2 IPS |
|
|
Face Detection (SP)
|
100% |
3968
47.2 IPS |
|
|
Face Detection (HP)
|
100% |
7675
91.2 IPS |
|
|
Face Detection (Q)
|
100% |
4443
52.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8297
63.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14658
113.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10164
79.3 IPS |
|
|
Style Transfer (SP)
|
100% |
25052
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
37745
48.5 IPS |
|
|
Style Transfer (Q)
|
96% |
31242
40.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5860
216.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6882
254.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4851
179.1 IPS |
|
|
Text Classification (SP)
|
100% |
2950
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5156
6.88 KIPS |
|
|
Text Classification (Q)
|
93% |
5328
7.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
3945
67.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6807
117.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6800
117.5 IPS |
