iPad Pro 13-inch (M4)
Geekbench AI Score
4814
Single Precision Score
7946
Half Precision Score
6327
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 10 2025 07:22 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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, 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% |
2054
381.9 IPS |
|
|
Image Classification (HP)
|
100% |
3343
621.7 IPS |
|
|
Image Classification (Q)
|
96% |
2314
432.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2154
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3292
53.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3551
57.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9833
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
19416
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16579
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2408
191.0 IPS |
|
|
Object Detection (HP)
|
97% |
3760
299.3 IPS |
|
|
Object Detection (Q)
|
94% |
2680
213.6 IPS |
|
|
Face Detection (SP)
|
100% |
4262
50.6 IPS |
|
|
Face Detection (HP)
|
100% |
7674
91.2 IPS |
|
|
Face Detection (Q)
|
100% |
4365
51.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8573
66.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14492
112.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10119
79.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21379
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
38187
49.1 IPS |
|
|
Style Transfer (Q)
|
96% |
31394
40.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6081
224.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7266
268.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5078
187.5 IPS |
|
|
Text Classification (SP)
|
100% |
3047
4.07 KIPS |
|
|
Text Classification (HP)
|
100% |
5588
7.46 KIPS |
|
|
Text Classification (Q)
|
93% |
5625
7.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
4416
76.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7249
125.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7114
122.9 IPS |
