iPad Pro 13-inch (M4)
Geekbench AI Score
10062
Single Precision Score
11948
Half Precision Score
11071
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 15 2025 02:50 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
4557
847.5 IPS |
|
|
Image Classification (HP)
|
100% |
4972
924.6 IPS |
|
|
Image Classification (Q)
|
96% |
4446
830.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
7133
115.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
7982
129.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
7691
124.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
27105
31.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
31023
36.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
30139
35.3 IPS |
|
|
Object Detection (SP)
|
100% |
4645
368.5 IPS |
|
|
Object Detection (HP)
|
100% |
5169
410.0 IPS |
|
|
Object Detection (Q)
|
92% |
4811
384.0 IPS |
|
|
Face Detection (SP)
|
100% |
12619
149.9 IPS |
|
|
Face Detection (HP)
|
100% |
16856
200.3 IPS |
|
|
Face Detection (Q)
|
100% |
13455
159.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
20239
155.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
22318
171.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
20361
159.0 IPS |
|
|
Style Transfer (SP)
|
100% |
56462
72.6 IPS |
|
|
Style Transfer (HP)
|
100% |
67757
87.1 IPS |
|
|
Style Transfer (Q)
|
96% |
65620
84.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11370
419.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11709
432.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10301
380.4 IPS |
|
|
Text Classification (SP)
|
100% |
3214
4.29 KIPS |
|
|
Text Classification (HP)
|
99% |
5932
7.92 KIPS |
|
|
Text Classification (Q)
|
93% |
5774
7.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
4935
85.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5264
90.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5219
90.2 IPS |
