iPad Pro 13-inch (M4)
Geekbench AI Score
4952
Single Precision Score
8040
Half Precision Score
6439
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | sknight |
| Upload Date | October 05 2025 05:07 PM |
| Views | 6 |
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% |
2101
390.7 IPS |
|
|
Image Classification (HP)
|
100% |
3370
626.8 IPS |
|
|
Image Classification (Q)
|
96% |
2336
436.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2134
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3174
51.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3523
57.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10037
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19475
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16652
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2437
193.3 IPS |
|
|
Object Detection (HP)
|
97% |
3835
305.3 IPS |
|
|
Object Detection (Q)
|
94% |
2707
215.8 IPS |
|
|
Face Detection (SP)
|
100% |
4256
50.6 IPS |
|
|
Face Detection (HP)
|
100% |
7663
91.1 IPS |
|
|
Face Detection (Q)
|
100% |
4378
52.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8527
65.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14049
108.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9870
77.0 IPS |
|
|
Style Transfer (SP)
|
100% |
24368
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38697
49.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31716
40.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6060
223.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7199
265.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5023
185.5 IPS |
|
|
Text Classification (SP)
|
100% |
3259
4.35 KIPS |
|
|
Text Classification (HP)
|
99% |
5824
7.77 KIPS |
|
|
Text Classification (Q)
|
93% |
5989
8.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
4632
79.8 IPS |
|
|
Machine Translation (HP)
|
98% |
8094
139.9 IPS |
|
|
Machine Translation (Q)
|
98% |
8021
138.6 IPS |
