iPad Pro 13-inch (M4)
Geekbench AI Score
8602
Single Precision Score
10308
Half Precision Score
9508
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 25 2024 11:30 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4408
819.7 IPS |
|
|
Image Classification (HP)
|
100% |
4798
892.3 IPS |
|
|
Image Classification (Q)
|
97% |
4110
767.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
4809
78.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
6675
108.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
7140
115.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
27890
32.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
30002
35.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
28522
33.4 IPS |
|
|
Object Detection (SP)
|
100% |
4660
369.6 IPS |
|
|
Object Detection (HP)
|
100% |
5240
415.6 IPS |
|
|
Object Detection (Q)
|
91% |
4418
353.0 IPS |
|
|
Face Detection (SP)
|
100% |
12650
150.3 IPS |
|
|
Face Detection (HP)
|
100% |
16256
193.2 IPS |
|
|
Face Detection (Q)
|
100% |
11918
141.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
20220
155.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
22343
172.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
19344
151.2 IPS |
|
|
Style Transfer (SP)
|
100% |
54847
70.5 IPS |
|
|
Style Transfer (HP)
|
100% |
67708
87.0 IPS |
|
|
Style Transfer (Q)
|
96% |
62901
81.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11904
439.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12569
464.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10190
376.3 IPS |
|
|
Text Classification (SP)
|
100% |
2981
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
5471
7.30 KIPS |
|
|
Text Classification (Q)
|
93% |
5295
7.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
1618
27.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1592
27.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2088
36.1 IPS |
