iPad Pro 13-inch (M4)
Geekbench AI Score
4953
Single Precision Score
8026
Half Precision Score
6444
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 21 2025 03:15 PM |
| Views | 1 |
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 | iPad16,5 |
| Motherboard | J720AP |
| 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% |
2058
382.7 IPS |
|
|
Image Classification (HP)
|
100% |
3378
628.2 IPS |
|
|
Image Classification (Q)
|
96% |
2328
434.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2189
35.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3223
52.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3583
58.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10034
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19465
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16671
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2438
193.4 IPS |
|
|
Object Detection (HP)
|
97% |
3827
304.6 IPS |
|
|
Object Detection (Q)
|
94% |
2722
217.0 IPS |
|
|
Face Detection (SP)
|
100% |
4293
51.0 IPS |
|
|
Face Detection (HP)
|
100% |
7635
90.7 IPS |
|
|
Face Detection (Q)
|
100% |
4400
52.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8553
65.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14112
109.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9985
77.9 IPS |
|
|
Style Transfer (SP)
|
100% |
24525
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
38806
49.9 IPS |
|
|
Style Transfer (Q)
|
96% |
31840
41.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6068
224.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7132
263.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4982
184.0 IPS |
|
|
Text Classification (SP)
|
100% |
3230
4.31 KIPS |
|
|
Text Classification (HP)
|
99% |
5696
7.60 KIPS |
|
|
Text Classification (Q)
|
93% |
5791
7.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
4575
78.8 IPS |
|
|
Machine Translation (HP)
|
98% |
8059
139.2 IPS |
|
|
Machine Translation (Q)
|
98% |
8086
139.7 IPS |
