iPad Pro 13-inch (M4)
Geekbench AI Score
4762
Single Precision Score
7900
Half Precision Score
6291
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 27 2025 09:27 PM |
| Views | 3 |
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 | iPad16,6 |
| 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% |
2055
382.2 IPS |
|
|
Image Classification (HP)
|
100% |
3328
618.9 IPS |
|
|
Image Classification (Q)
|
96% |
2295
428.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2133
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3211
52.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3606
58.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9865
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
19305
22.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
16497
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2394
189.9 IPS |
|
|
Object Detection (HP)
|
97% |
3753
298.8 IPS |
|
|
Object Detection (Q)
|
94% |
2679
213.6 IPS |
|
|
Face Detection (SP)
|
100% |
4224
50.2 IPS |
|
|
Face Detection (HP)
|
100% |
7636
90.7 IPS |
|
|
Face Detection (Q)
|
100% |
4418
52.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8539
65.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14462
111.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10160
79.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21232
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38403
49.4 IPS |
|
|
Style Transfer (Q)
|
96% |
31754
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6056
223.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7230
267.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5016
185.2 IPS |
|
|
Text Classification (SP)
|
100% |
2888
3.86 KIPS |
|
|
Text Classification (HP)
|
100% |
5501
7.34 KIPS |
|
|
Text Classification (Q)
|
93% |
5241
7.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
4326
74.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7254
125.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7086
122.5 IPS |
