iPad Pro 13-inch (M4)
Geekbench AI Score
10038
Single Precision Score
11939
Half Precision Score
11098
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 09 2025 10:53 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
4543
844.9 IPS |
|
|
Image Classification (HP)
|
100% |
4987
927.4 IPS |
|
|
Image Classification (Q)
|
96% |
4413
824.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
7106
115.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
7979
129.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
7682
124.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
27103
31.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
31019
36.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
30208
35.4 IPS |
|
|
Object Detection (SP)
|
100% |
4611
365.7 IPS |
|
|
Object Detection (HP)
|
100% |
5211
413.3 IPS |
|
|
Object Detection (Q)
|
92% |
4838
386.2 IPS |
|
|
Face Detection (SP)
|
100% |
12734
151.3 IPS |
|
|
Face Detection (HP)
|
100% |
16866
200.4 IPS |
|
|
Face Detection (Q)
|
100% |
13522
160.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
20037
154.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
22327
172.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
20363
159.0 IPS |
|
|
Style Transfer (SP)
|
100% |
55877
71.8 IPS |
|
|
Style Transfer (HP)
|
100% |
67063
86.2 IPS |
|
|
Style Transfer (Q)
|
96% |
65303
84.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11370
419.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11729
433.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10281
379.6 IPS |
|
|
Text Classification (SP)
|
100% |
3240
4.32 KIPS |
|
|
Text Classification (HP)
|
99% |
5914
7.89 KIPS |
|
|
Text Classification (Q)
|
93% |
5937
7.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
4902
84.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5224
90.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5213
90.1 IPS |
