iPad Pro (M4) - 2025_0515 iPad Pro 13-inch (M4)
Geekbench AI Score
9684
Single Precision Score
11277
Half Precision Score
10099
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Barritz |
| Upload Date | May 16 2025 03:21 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
4369
812.6 IPS |
|
|
Image Classification (HP)
|
100% |
4785
889.8 IPS |
|
|
Image Classification (Q)
|
96% |
4494
839.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
7100
115.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
7845
127.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
7601
123.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
27537
32.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
29744
34.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
29460
34.5 IPS |
|
|
Object Detection (SP)
|
100% |
4579
363.2 IPS |
|
|
Object Detection (HP)
|
100% |
5138
407.6 IPS |
|
|
Object Detection (Q)
|
92% |
4730
377.6 IPS |
|
|
Face Detection (SP)
|
100% |
12531
148.9 IPS |
|
|
Face Detection (HP)
|
100% |
16592
197.2 IPS |
|
|
Face Detection (Q)
|
100% |
13216
157.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
20373
157.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
21904
168.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
20091
156.9 IPS |
|
|
Style Transfer (SP)
|
100% |
55964
71.9 IPS |
|
|
Style Transfer (HP)
|
100% |
65774
84.6 IPS |
|
|
Style Transfer (Q)
|
96% |
63824
82.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11708
432.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11549
426.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10387
383.5 IPS |
|
|
Text Classification (SP)
|
100% |
2948
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5328
7.11 KIPS |
|
|
Text Classification (Q)
|
93% |
5355
7.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
3761
64.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3943
67.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2461
42.5 IPS |
