iPad Pro 13-inch (M4)
Geekbench AI Score
4874
Single Precision Score
7911
Half Precision Score
6376
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 10 2025 04:18 PM |
| Views | 29 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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% |
2085
387.7 IPS |
|
|
Image Classification (HP)
|
100% |
3315
616.5 IPS |
|
|
Image Classification (Q)
|
96% |
2336
436.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2164
35.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3231
52.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3649
59.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9986
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19503
22.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
16665
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2424
192.3 IPS |
|
|
Object Detection (HP)
|
97% |
3780
300.9 IPS |
|
|
Object Detection (Q)
|
94% |
2700
215.2 IPS |
|
|
Face Detection (SP)
|
100% |
4343
51.6 IPS |
|
|
Face Detection (HP)
|
100% |
7760
92.2 IPS |
|
|
Face Detection (Q)
|
100% |
4472
53.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8627
66.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14575
112.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10142
79.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22332
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
38491
49.5 IPS |
|
|
Style Transfer (Q)
|
96% |
31785
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6044
223.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7123
263.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5064
187.0 IPS |
|
|
Text Classification (SP)
|
100% |
3090
4.12 KIPS |
|
|
Text Classification (HP)
|
100% |
5457
7.28 KIPS |
|
|
Text Classification (Q)
|
93% |
5492
7.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
4437
76.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7193
124.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7222
124.8 IPS |
