iPad Pro 13-inch (M4)
Geekbench AI Score
2711
Single Precision Score
4398
Half Precision Score
3447
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | dynamiteCobra88 |
| Upload Date | July 31 2025 10:37 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1093
203.3 IPS |
|
|
Image Classification (HP)
|
100% |
1807
336.0 IPS |
|
|
Image Classification (Q)
|
96% |
1204
224.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1140
18.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1860
30.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1868
30.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5687
6.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
10460
12.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
8876
10.4 IPS |
|
|
Object Detection (SP)
|
100% |
1294
102.7 IPS |
|
|
Object Detection (HP)
|
97% |
2024
161.1 IPS |
|
|
Object Detection (Q)
|
94% |
1416
112.8 IPS |
|
|
Face Detection (SP)
|
100% |
2254
26.8 IPS |
|
|
Face Detection (HP)
|
100% |
4009
47.6 IPS |
|
|
Face Detection (Q)
|
100% |
2282
27.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4653
35.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
7495
57.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
5223
40.8 IPS |
|
|
Style Transfer (SP)
|
100% |
13145
16.9 IPS |
|
|
Style Transfer (HP)
|
100% |
20918
26.9 IPS |
|
|
Style Transfer (Q)
|
96% |
17015
22.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3356
123.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3904
144.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2706
99.9 IPS |
|
|
Text Classification (SP)
|
100% |
1904
2.54 KIPS |
|
|
Text Classification (HP)
|
99% |
3233
4.31 KIPS |
|
|
Text Classification (Q)
|
93% |
3207
4.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
2658
45.8 IPS |
|
|
Machine Translation (HP)
|
98% |
4798
82.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4763
82.3 IPS |
