iPad Pro 13-inch (M4)
Geekbench AI Score
4679
Single Precision Score
7797
Half Precision Score
6249
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | gbenchgs |
| Upload Date | January 30 2025 03:10 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1982
368.6 IPS |
|
|
Image Classification (HP)
|
100% |
3334
620.1 IPS |
|
|
Image Classification (Q)
|
96% |
2310
431.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2063
33.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3243
52.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3599
58.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10024
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19062
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16430
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2237
177.5 IPS |
|
|
Object Detection (HP)
|
97% |
3828
304.7 IPS |
|
|
Object Detection (Q)
|
94% |
2702
215.3 IPS |
|
|
Face Detection (SP)
|
100% |
3954
47.0 IPS |
|
|
Face Detection (HP)
|
100% |
7734
91.9 IPS |
|
|
Face Detection (Q)
|
100% |
4462
53.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8279
63.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14658
113.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10152
79.2 IPS |
|
|
Style Transfer (SP)
|
100% |
25176
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38095
49.0 IPS |
|
|
Style Transfer (Q)
|
96% |
31406
40.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5830
215.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6866
253.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4843
178.8 IPS |
|
|
Text Classification (SP)
|
100% |
2957
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5119
6.83 KIPS |
|
|
Text Classification (Q)
|
93% |
5193
6.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
3868
66.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6937
119.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6886
119.0 IPS |
