iPad Pro 13-inch (M4)
Geekbench AI Score
4827
Single Precision Score
7837
Half Precision Score
6294
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 17 2025 10:35 PM |
| Views | 1 |
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, 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% |
2071
385.2 IPS |
|
|
Image Classification (HP)
|
100% |
3354
623.8 IPS |
|
|
Image Classification (Q)
|
96% |
2314
432.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2214
35.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3248
52.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3620
58.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9965
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19471
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16623
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2407
190.9 IPS |
|
|
Object Detection (HP)
|
97% |
3784
301.2 IPS |
|
|
Object Detection (Q)
|
94% |
2672
213.0 IPS |
|
|
Face Detection (SP)
|
100% |
4306
51.2 IPS |
|
|
Face Detection (HP)
|
100% |
7686
91.3 IPS |
|
|
Face Detection (Q)
|
100% |
4447
52.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8564
66.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14510
112.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
10157
79.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21663
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
38402
49.4 IPS |
|
|
Style Transfer (Q)
|
96% |
31620
40.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6099
225.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7220
266.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5030
185.7 IPS |
|
|
Text Classification (SP)
|
100% |
2909
3.88 KIPS |
|
|
Text Classification (HP)
|
100% |
5208
6.95 KIPS |
|
|
Text Classification (Q)
|
93% |
5175
6.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
4411
76.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6770
117.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7061
122.0 IPS |
