iPad Pro 13-inch (M4)
Geekbench AI Score
4975
Single Precision Score
8021
Half Precision Score
6426
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | cfgauss1777 |
| Upload Date | November 10 2025 02:49 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
2125
395.2 IPS |
|
|
Image Classification (HP)
|
100% |
3354
623.7 IPS |
|
|
Image Classification (Q)
|
96% |
2342
437.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2155
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3205
52.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3559
57.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10042
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19496
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16643
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2434
193.1 IPS |
|
|
Object Detection (HP)
|
97% |
3812
303.5 IPS |
|
|
Object Detection (Q)
|
94% |
2714
216.3 IPS |
|
|
Face Detection (SP)
|
100% |
4281
50.9 IPS |
|
|
Face Detection (HP)
|
100% |
7633
90.7 IPS |
|
|
Face Detection (Q)
|
100% |
4392
52.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8556
65.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14115
109.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9936
77.6 IPS |
|
|
Style Transfer (SP)
|
100% |
24350
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38697
49.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31787
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6071
224.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7131
263.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4999
184.6 IPS |
|
|
Text Classification (SP)
|
100% |
3344
4.46 KIPS |
|
|
Text Classification (HP)
|
99% |
5775
7.71 KIPS |
|
|
Text Classification (Q)
|
93% |
5732
7.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
4589
79.0 IPS |
|
|
Machine Translation (HP)
|
98% |
8040
138.9 IPS |
|
|
Machine Translation (Q)
|
98% |
8024
138.7 IPS |
