iPad Pro 13-inch (M4)
Geekbench AI Score
4724
Single Precision Score
7894
Half Precision Score
6370
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 26 2024 11:11 PM |
| 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, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.06 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2011
373.9 IPS |
|
|
Image Classification (HP)
|
100% |
3332
619.6 IPS |
|
|
Image Classification (Q)
|
96% |
2340
436.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2137
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3337
54.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3687
59.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10025
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19002
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16560
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2284
181.2 IPS |
|
|
Object Detection (HP)
|
97% |
3796
302.2 IPS |
|
|
Object Detection (Q)
|
94% |
2732
217.8 IPS |
|
|
Face Detection (SP)
|
100% |
4094
48.6 IPS |
|
|
Face Detection (HP)
|
100% |
7958
94.6 IPS |
|
|
Face Detection (Q)
|
100% |
4628
55.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8415
64.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14876
115.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10410
81.3 IPS |
|
|
Style Transfer (SP)
|
100% |
25280
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
38448
49.4 IPS |
|
|
Style Transfer (Q)
|
96% |
31876
41.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5715
211.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6721
248.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4789
176.8 IPS |
|
|
Text Classification (SP)
|
100% |
2920
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
5561
7.42 KIPS |
|
|
Text Classification (Q)
|
93% |
5554
7.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
3877
66.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6891
119.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6909
119.4 IPS |
