iPad Pro 13-inch (M4)
Geekbench AI Score
8746
Single Precision Score
10568
Half Precision Score
9455
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Ekatak |
| Upload Date | March 06 2025 11:36 PM |
| Views | 4 |
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 | iPad16,6 |
| 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% |
4334
806.0 IPS |
|
|
Image Classification (HP)
|
100% |
5023
934.1 IPS |
|
|
Image Classification (Q)
|
97% |
4100
765.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
4786
77.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
6703
108.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
7154
116.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
27766
32.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
29828
34.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
28429
33.3 IPS |
|
|
Object Detection (SP)
|
100% |
4642
368.2 IPS |
|
|
Object Detection (HP)
|
100% |
5160
409.3 IPS |
|
|
Object Detection (Q)
|
91% |
4462
356.5 IPS |
|
|
Face Detection (SP)
|
100% |
12676
150.6 IPS |
|
|
Face Detection (HP)
|
100% |
16503
196.1 IPS |
|
|
Face Detection (Q)
|
100% |
11898
141.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
20163
155.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
22330
172.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
19207
150.1 IPS |
|
|
Style Transfer (SP)
|
100% |
56683
72.9 IPS |
|
|
Style Transfer (HP)
|
100% |
66424
85.4 IPS |
|
|
Style Transfer (Q)
|
96% |
62442
80.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11497
424.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12555
463.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10217
377.3 IPS |
|
|
Text Classification (SP)
|
100% |
2964
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5207
6.95 KIPS |
|
|
Text Classification (Q)
|
93% |
5212
6.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
1986
34.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2097
36.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2021
34.9 IPS |
