iPad Pro 13-inch (M4)
Geekbench AI Score
4935
Single Precision Score
7959
Half Precision Score
6375
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Merlin12 |
| Upload Date | June 24 2025 01:49 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| Model | iPad Pro 13-inch (M4) |
| Model ID | iPad16,6 |
| Motherboard | J721AP |
| 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% |
2112
392.7 IPS |
|
|
Image Classification (HP)
|
100% |
3391
630.6 IPS |
|
|
Image Classification (Q)
|
96% |
2346
438.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2154
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3209
52.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3520
57.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10091
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19425
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16602
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2435
193.2 IPS |
|
|
Object Detection (HP)
|
97% |
3801
302.6 IPS |
|
|
Object Detection (Q)
|
94% |
2704
215.6 IPS |
|
|
Face Detection (SP)
|
100% |
4234
50.3 IPS |
|
|
Face Detection (HP)
|
100% |
7662
91.0 IPS |
|
|
Face Detection (Q)
|
100% |
4411
52.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8517
65.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14090
108.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9849
76.9 IPS |
|
|
Style Transfer (SP)
|
100% |
24445
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
39536
50.8 IPS |
|
|
Style Transfer (Q)
|
96% |
32309
41.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6083
224.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7190
265.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5002
184.7 IPS |
|
|
Text Classification (SP)
|
100% |
3127
4.17 KIPS |
|
|
Text Classification (HP)
|
99% |
5259
7.02 KIPS |
|
|
Text Classification (Q)
|
93% |
5416
7.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
4578
78.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7874
136.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7869
136.0 IPS |
