iPad Pro 13-inch (M4)
Geekbench AI Score
9277
Single Precision Score
11925
Half Precision Score
11084
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 20 2025 03:47 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, 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% |
4571
850.1 IPS |
|
|
Image Classification (HP)
|
100% |
4956
921.6 IPS |
|
|
Image Classification (Q)
|
96% |
4430
827.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
7146
115.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
7968
129.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
7663
124.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
27107
31.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
31129
36.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
30112
35.3 IPS |
|
|
Object Detection (SP)
|
100% |
4646
368.5 IPS |
|
|
Object Detection (HP)
|
100% |
5229
414.8 IPS |
|
|
Object Detection (Q)
|
92% |
4856
387.7 IPS |
|
|
Face Detection (SP)
|
100% |
12726
151.2 IPS |
|
|
Face Detection (HP)
|
100% |
16875
200.5 IPS |
|
|
Face Detection (Q)
|
100% |
13527
160.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
20068
154.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
22279
171.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
20169
157.5 IPS |
|
|
Style Transfer (SP)
|
100% |
54544
70.1 IPS |
|
|
Style Transfer (HP)
|
100% |
67249
86.5 IPS |
|
|
Style Transfer (Q)
|
96% |
65380
84.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11415
421.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11687
431.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10327
381.3 IPS |
|
|
Text Classification (SP)
|
100% |
3297
4.40 KIPS |
|
|
Text Classification (HP)
|
99% |
5772
7.70 KIPS |
|
|
Text Classification (Q)
|
93% |
5781
7.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
2191
37.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5306
91.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5296
91.5 IPS |
