iPad Pro 13-inch (M4)
Geekbench AI Score
10006
Single Precision Score
11882
Half Precision Score
11045
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 07 2025 07:10 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, 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% |
4555
847.2 IPS |
|
|
Image Classification (HP)
|
100% |
5087
946.1 IPS |
|
|
Image Classification (Q)
|
96% |
4579
855.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
7096
115.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
7974
129.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
7688
124.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
27030
31.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
31035
36.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
30199
35.4 IPS |
|
|
Object Detection (SP)
|
100% |
4537
359.9 IPS |
|
|
Object Detection (HP)
|
100% |
5148
408.3 IPS |
|
|
Object Detection (Q)
|
92% |
4777
381.3 IPS |
|
|
Face Detection (SP)
|
100% |
12591
149.6 IPS |
|
|
Face Detection (HP)
|
100% |
16644
197.8 IPS |
|
|
Face Detection (Q)
|
100% |
13363
158.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
20152
155.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
22436
172.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
20319
158.7 IPS |
|
|
Style Transfer (SP)
|
100% |
55486
71.3 IPS |
|
|
Style Transfer (HP)
|
100% |
67116
86.3 IPS |
|
|
Style Transfer (Q)
|
96% |
64921
83.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11394
420.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11736
433.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10357
382.4 IPS |
|
|
Text Classification (SP)
|
100% |
3324
4.44 KIPS |
|
|
Text Classification (HP)
|
99% |
5731
7.65 KIPS |
|
|
Text Classification (Q)
|
93% |
5682
7.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
4763
82.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5135
88.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5131
88.7 IPS |
