iPad Pro 13-inch (M4)
Geekbench AI Score
8756
Single Precision Score
10687
Half Precision Score
9541
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | chibifire |
| Upload Date | March 08 2025 02:30 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
4381
814.7 IPS |
|
|
Image Classification (HP)
|
100% |
4892
909.8 IPS |
|
|
Image Classification (Q)
|
97% |
4262
795.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4810
78.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
6685
108.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
7142
115.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
27894
32.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
29950
34.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
28499
33.4 IPS |
|
|
Object Detection (SP)
|
100% |
4627
367.0 IPS |
|
|
Object Detection (HP)
|
100% |
5190
411.6 IPS |
|
|
Object Detection (Q)
|
91% |
4430
354.0 IPS |
|
|
Face Detection (SP)
|
100% |
12738
151.4 IPS |
|
|
Face Detection (HP)
|
100% |
16349
194.3 IPS |
|
|
Face Detection (Q)
|
100% |
11973
142.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
20235
155.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
22231
171.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
19121
149.5 IPS |
|
|
Style Transfer (SP)
|
100% |
55354
71.2 IPS |
|
|
Style Transfer (HP)
|
100% |
66551
85.6 IPS |
|
|
Style Transfer (Q)
|
96% |
62671
80.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11699
432.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12605
465.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10221
377.4 IPS |
|
|
Text Classification (SP)
|
100% |
2949
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
6225
8.31 KIPS |
|
|
Text Classification (Q)
|
93% |
5492
7.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
1979
34.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2016
34.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2020
34.9 IPS |
