iPad Pro 13-inch (M4)
Geekbench AI Score
8767
Single Precision Score
10590
Half Precision Score
9300
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 25 2024 11:29 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% |
4386
815.6 IPS |
|
|
Image Classification (HP)
|
100% |
4833
898.8 IPS |
|
|
Image Classification (Q)
|
97% |
4121
769.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
4792
77.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
6711
108.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
7145
115.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
28014
32.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
30035
35.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
28530
33.4 IPS |
|
|
Object Detection (SP)
|
100% |
4646
368.5 IPS |
|
|
Object Detection (HP)
|
100% |
5164
409.6 IPS |
|
|
Object Detection (Q)
|
91% |
4422
353.4 IPS |
|
|
Face Detection (SP)
|
100% |
12680
150.7 IPS |
|
|
Face Detection (HP)
|
100% |
16209
192.6 IPS |
|
|
Face Detection (Q)
|
100% |
11905
141.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
20134
155.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
22189
171.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
19374
151.4 IPS |
|
|
Style Transfer (SP)
|
100% |
56157
72.2 IPS |
|
|
Style Transfer (HP)
|
100% |
66978
86.1 IPS |
|
|
Style Transfer (Q)
|
96% |
63072
81.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11843
437.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12688
468.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10206
376.9 IPS |
|
|
Text Classification (SP)
|
100% |
2925
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
5504
7.35 KIPS |
|
|
Text Classification (Q)
|
93% |
5490
7.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
1975
34.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2097
36.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1599
27.6 IPS |
