iPad Pro 13-inch (M4)
Geekbench AI Score
4753
Single Precision Score
7886
Half Precision Score
6298
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 23 2024 09:09 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 | iPad16,5 |
| Motherboard | J720AP |
| 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% |
2013
374.4 IPS |
|
|
Image Classification (HP)
|
100% |
3322
617.8 IPS |
|
|
Image Classification (Q)
|
96% |
2315
432.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2143
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3286
53.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3605
58.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10106
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19127
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16502
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2252
178.6 IPS |
|
|
Object Detection (HP)
|
97% |
3842
305.9 IPS |
|
|
Object Detection (Q)
|
94% |
2712
216.2 IPS |
|
|
Face Detection (SP)
|
100% |
4005
47.6 IPS |
|
|
Face Detection (HP)
|
100% |
7722
91.8 IPS |
|
|
Face Detection (Q)
|
100% |
4426
52.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8299
63.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14722
113.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10203
79.6 IPS |
|
|
Style Transfer (SP)
|
100% |
25200
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
37937
48.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31320
40.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5875
216.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6883
254.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4872
179.9 IPS |
|
|
Text Classification (SP)
|
100% |
3100
4.14 KIPS |
|
|
Text Classification (HP)
|
100% |
5677
7.58 KIPS |
|
|
Text Classification (Q)
|
93% |
5547
7.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
3934
67.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6888
119.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6879
118.9 IPS |
