iPad Pro 13-inch (M4)
Geekbench AI Score
9521
Single Precision Score
11473
Half Precision Score
10126
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 17 2025 04:03 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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% |
4401
818.5 IPS |
|
|
Image Classification (HP)
|
100% |
4808
894.2 IPS |
|
|
Image Classification (Q)
|
96% |
4569
853.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
7136
115.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
7903
128.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
7667
124.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
26945
31.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
30958
36.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
30148
35.3 IPS |
|
|
Object Detection (SP)
|
100% |
4503
357.2 IPS |
|
|
Object Detection (HP)
|
100% |
5132
407.1 IPS |
|
|
Object Detection (Q)
|
92% |
4706
375.7 IPS |
|
|
Face Detection (SP)
|
100% |
12502
148.6 IPS |
|
|
Face Detection (HP)
|
100% |
16457
195.5 IPS |
|
|
Face Detection (Q)
|
100% |
13211
157.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
19815
152.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
22260
171.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
20284
158.4 IPS |
|
|
Style Transfer (SP)
|
100% |
55627
71.5 IPS |
|
|
Style Transfer (HP)
|
100% |
67013
86.1 IPS |
|
|
Style Transfer (Q)
|
96% |
64541
83.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11414
421.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11687
431.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10280
379.6 IPS |
|
|
Text Classification (SP)
|
100% |
2942
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
5428
7.25 KIPS |
|
|
Text Classification (Q)
|
93% |
5403
7.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3472
59.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4204
72.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2376
41.1 IPS |
