iPad Pro 13-inch (M4)
Geekbench AI Score
4875
Single Precision Score
7952
Half Precision Score
6409
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | DonDonSoyona |
| Upload Date | January 07 2026 04:47 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.7.3 |
| 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% |
2090
388.6 IPS |
|
|
Image Classification (HP)
|
100% |
3341
621.4 IPS |
|
|
Image Classification (Q)
|
96% |
2327
434.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2179
35.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3222
52.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3699
60.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10022
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19362
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16701
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
2446
194.0 IPS |
|
|
Object Detection (HP)
|
97% |
3766
299.8 IPS |
|
|
Object Detection (Q)
|
94% |
2720
216.8 IPS |
|
|
Face Detection (SP)
|
100% |
4383
52.1 IPS |
|
|
Face Detection (HP)
|
100% |
7919
94.1 IPS |
|
|
Face Detection (Q)
|
100% |
4546
54.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8750
67.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14686
113.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10307
80.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22106
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38590
49.6 IPS |
|
|
Style Transfer (Q)
|
96% |
32047
41.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6124
226.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7245
267.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5042
186.2 IPS |
|
|
Text Classification (SP)
|
100% |
2998
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
5519
7.37 KIPS |
|
|
Text Classification (Q)
|
93% |
5434
7.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
4364
75.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7180
124.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7274
125.7 IPS |
