iPad Pro 13-inch (M4)
Geekbench AI Score
4911
Single Precision Score
7915
Half Precision Score
6294
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 16 2025 08:53 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
2039
379.1 IPS |
|
|
Image Classification (HP)
|
100% |
3355
624.0 IPS |
|
|
Image Classification (Q)
|
96% |
2296
428.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2190
35.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3245
52.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3536
57.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9970
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19362
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16582
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2392
189.8 IPS |
|
|
Object Detection (HP)
|
97% |
3747
298.3 IPS |
|
|
Object Detection (Q)
|
94% |
2590
206.4 IPS |
|
|
Face Detection (SP)
|
100% |
4261
50.6 IPS |
|
|
Face Detection (HP)
|
100% |
7684
91.3 IPS |
|
|
Face Detection (Q)
|
100% |
4418
52.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8612
66.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14531
112.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10142
79.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22028
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38144
49.0 IPS |
|
|
Style Transfer (Q)
|
96% |
31445
40.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6092
225.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7265
268.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5076
187.4 IPS |
|
|
Text Classification (SP)
|
100% |
3489
4.66 KIPS |
|
|
Text Classification (HP)
|
100% |
5566
7.43 KIPS |
|
|
Text Classification (Q)
|
93% |
5511
7.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
4463
76.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7094
122.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7101
122.7 IPS |
