iPad Pro 13-inch (M4)
Geekbench AI Score
4969
Single Precision Score
8044
Half Precision Score
6431
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 22 2025 05:41 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, 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% |
2108
392.1 IPS |
|
|
Image Classification (HP)
|
100% |
3391
630.6 IPS |
|
|
Image Classification (Q)
|
96% |
2356
439.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2112
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3179
51.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3531
57.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10071
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19528
22.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
16675
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2440
193.5 IPS |
|
|
Object Detection (HP)
|
97% |
3766
299.8 IPS |
|
|
Object Detection (Q)
|
94% |
2700
215.2 IPS |
|
|
Face Detection (SP)
|
100% |
4286
50.9 IPS |
|
|
Face Detection (HP)
|
100% |
7725
91.8 IPS |
|
|
Face Detection (Q)
|
100% |
4387
52.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8533
65.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14090
108.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9939
77.6 IPS |
|
|
Style Transfer (SP)
|
100% |
24511
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
38855
49.9 IPS |
|
|
Style Transfer (Q)
|
96% |
31805
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6092
225.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7173
264.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5005
184.8 IPS |
|
|
Text Classification (SP)
|
100% |
3373
4.50 KIPS |
|
|
Text Classification (HP)
|
99% |
5768
7.70 KIPS |
|
|
Text Classification (Q)
|
93% |
5749
7.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
4556
78.5 IPS |
|
|
Machine Translation (HP)
|
98% |
8179
141.3 IPS |
|
|
Machine Translation (Q)
|
98% |
8103
140.0 IPS |
