iPad Pro 13-inch (M4)
Geekbench AI Score
10063
Single Precision Score
11888
Half Precision Score
11108
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 21 2025 01:34 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
4668
868.1 IPS |
|
|
Image Classification (HP)
|
100% |
4983
926.7 IPS |
|
|
Image Classification (Q)
|
96% |
4400
821.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
7046
114.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
8028
130.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
7690
124.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
27118
31.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
30990
36.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
30133
35.3 IPS |
|
|
Object Detection (SP)
|
100% |
4562
361.8 IPS |
|
|
Object Detection (HP)
|
100% |
5151
408.6 IPS |
|
|
Object Detection (Q)
|
92% |
4790
382.3 IPS |
|
|
Face Detection (SP)
|
100% |
12554
149.2 IPS |
|
|
Face Detection (HP)
|
100% |
16721
198.7 IPS |
|
|
Face Detection (Q)
|
100% |
13379
159.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
20004
154.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
22251
171.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
20278
158.4 IPS |
|
|
Style Transfer (SP)
|
100% |
55274
71.1 IPS |
|
|
Style Transfer (HP)
|
100% |
67044
86.2 IPS |
|
|
Style Transfer (Q)
|
96% |
65330
84.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11327
418.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11676
431.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10296
380.2 IPS |
|
|
Text Classification (SP)
|
100% |
3437
4.59 KIPS |
|
|
Text Classification (HP)
|
99% |
5779
7.71 KIPS |
|
|
Text Classification (Q)
|
93% |
6104
8.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
4843
83.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5249
90.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5261
90.9 IPS |
