iPad Pro 13-inch (M4)
Geekbench AI Score
4841
Single Precision Score
7889
Half Precision Score
6363
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 18 2025 03:25 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| Model | iPad Pro 13-inch (M4) |
| Model ID | iPad16,5 |
| Motherboard | J720AP |
| 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% |
2061
383.4 IPS |
|
|
Image Classification (HP)
|
100% |
3339
620.9 IPS |
|
|
Image Classification (Q)
|
96% |
2330
435.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2196
35.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3248
52.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3689
59.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10023
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19481
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16697
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
2418
191.8 IPS |
|
|
Object Detection (HP)
|
97% |
3770
300.1 IPS |
|
|
Object Detection (Q)
|
94% |
2712
216.2 IPS |
|
|
Face Detection (SP)
|
100% |
4314
51.3 IPS |
|
|
Face Detection (HP)
|
100% |
7839
93.1 IPS |
|
|
Face Detection (Q)
|
100% |
4494
53.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8605
66.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14624
113.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10297
80.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21756
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
38603
49.6 IPS |
|
|
Style Transfer (Q)
|
96% |
31991
41.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6121
226.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7108
262.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5000
184.6 IPS |
|
|
Text Classification (SP)
|
100% |
2933
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5199
6.94 KIPS |
|
|
Text Classification (Q)
|
93% |
5253
7.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
4448
76.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7176
124.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7190
124.2 IPS |
