iPad Pro 13-inch (M4)
Geekbench AI Score
9979
Single Precision Score
11714
Half Precision Score
11081
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 09 2025 12:51 AM |
| 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% |
4492
835.4 IPS |
|
|
Image Classification (HP)
|
100% |
4943
919.3 IPS |
|
|
Image Classification (Q)
|
96% |
4441
829.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
7041
114.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
7930
128.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
7632
123.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
27075
31.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
30994
36.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
30084
35.2 IPS |
|
|
Object Detection (SP)
|
100% |
4571
362.6 IPS |
|
|
Object Detection (HP)
|
100% |
5239
415.5 IPS |
|
|
Object Detection (Q)
|
92% |
4809
383.9 IPS |
|
|
Face Detection (SP)
|
100% |
12553
149.2 IPS |
|
|
Face Detection (HP)
|
100% |
16828
199.9 IPS |
|
|
Face Detection (Q)
|
100% |
13397
159.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
19851
152.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
22034
169.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
20141
157.3 IPS |
|
|
Style Transfer (SP)
|
100% |
55193
71.0 IPS |
|
|
Style Transfer (HP)
|
100% |
66651
85.7 IPS |
|
|
Style Transfer (Q)
|
96% |
65073
84.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11363
419.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11606
428.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10300
380.3 IPS |
|
|
Text Classification (SP)
|
100% |
3277
4.37 KIPS |
|
|
Text Classification (HP)
|
99% |
5835
7.79 KIPS |
|
|
Text Classification (Q)
|
93% |
5998
8.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
4888
84.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4569
78.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5249
90.7 IPS |
