iPad Pro 13-inch (M4)
Geekbench AI Score
10037
Single Precision Score
11926
Half Precision Score
11008
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | foolsmac |
| Upload Date | November 26 2025 03:37 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
4601
855.6 IPS |
|
|
Image Classification (HP)
|
100% |
4989
927.8 IPS |
|
|
Image Classification (Q)
|
96% |
4458
832.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
7140
115.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
7978
129.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
7690
124.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
27127
31.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
30997
36.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
30179
35.3 IPS |
|
|
Object Detection (SP)
|
100% |
4609
365.6 IPS |
|
|
Object Detection (HP)
|
100% |
5184
411.2 IPS |
|
|
Object Detection (Q)
|
92% |
4799
383.1 IPS |
|
|
Face Detection (SP)
|
100% |
12771
151.7 IPS |
|
|
Face Detection (HP)
|
100% |
16772
199.3 IPS |
|
|
Face Detection (Q)
|
100% |
13395
159.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
19962
153.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
22454
173.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
20449
159.7 IPS |
|
|
Style Transfer (SP)
|
100% |
54671
70.3 IPS |
|
|
Style Transfer (HP)
|
100% |
67128
86.3 IPS |
|
|
Style Transfer (Q)
|
96% |
65247
84.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11314
417.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11733
433.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10317
380.9 IPS |
|
|
Text Classification (SP)
|
100% |
3280
4.38 KIPS |
|
|
Text Classification (HP)
|
99% |
5911
7.89 KIPS |
|
|
Text Classification (Q)
|
93% |
5975
8.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
4888
84.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5193
89.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4780
82.6 IPS |
