iPad Pro 13-inch (M4)
Geekbench AI Score
8809
Single Precision Score
10467
Half Precision Score
9576
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 27 2024 07:29 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
4533
843.0 IPS |
|
|
Image Classification (HP)
|
100% |
4979
925.9 IPS |
|
|
Image Classification (Q)
|
97% |
4205
784.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
4686
76.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
6706
108.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
7133
115.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
27636
32.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
29650
34.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
28117
33.0 IPS |
|
|
Object Detection (SP)
|
100% |
4643
368.3 IPS |
|
|
Object Detection (HP)
|
100% |
5198
412.3 IPS |
|
|
Object Detection (Q)
|
91% |
4395
351.2 IPS |
|
|
Face Detection (SP)
|
100% |
12138
144.2 IPS |
|
|
Face Detection (HP)
|
100% |
15993
190.0 IPS |
|
|
Face Detection (Q)
|
100% |
11757
139.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
20261
156.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
22568
173.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
20069
156.9 IPS |
|
|
Style Transfer (SP)
|
100% |
56614
72.8 IPS |
|
|
Style Transfer (HP)
|
100% |
66500
85.5 IPS |
|
|
Style Transfer (Q)
|
96% |
62250
80.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12091
446.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13319
491.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10782
398.1 IPS |
|
|
Text Classification (SP)
|
100% |
3054
4.08 KIPS |
|
|
Text Classification (HP)
|
100% |
5733
7.65 KIPS |
|
|
Text Classification (Q)
|
93% |
5454
7.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
2010
34.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1674
28.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2026
35.0 IPS |
