iPad Pro 13-inch (M4)
Geekbench AI Score
4964
Single Precision Score
8019
Half Precision Score
6444
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 23 2025 04:40 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
2138
397.6 IPS |
|
|
Image Classification (HP)
|
100% |
3351
623.1 IPS |
|
|
Image Classification (Q)
|
96% |
2350
438.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2186
35.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3217
52.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3541
57.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10038
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19481
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16642
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2431
192.9 IPS |
|
|
Object Detection (HP)
|
97% |
3799
302.5 IPS |
|
|
Object Detection (Q)
|
94% |
2700
215.2 IPS |
|
|
Face Detection (SP)
|
100% |
4289
51.0 IPS |
|
|
Face Detection (HP)
|
100% |
7684
91.3 IPS |
|
|
Face Detection (Q)
|
100% |
4440
52.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8531
65.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14119
109.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9961
77.7 IPS |
|
|
Style Transfer (SP)
|
100% |
24347
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38722
49.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31766
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6072
224.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7072
261.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4961
183.2 IPS |
|
|
Text Classification (SP)
|
100% |
3220
4.30 KIPS |
|
|
Text Classification (HP)
|
99% |
5753
7.68 KIPS |
|
|
Text Classification (Q)
|
93% |
5824
7.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
4575
78.8 IPS |
|
|
Machine Translation (HP)
|
98% |
8071
139.5 IPS |
|
|
Machine Translation (Q)
|
98% |
8142
140.7 IPS |
