iPad Pro 11-inch (M4)
Geekbench AI Score
10065
Single Precision Score
11875
Half Precision Score
11110
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 26 2025 03:04 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPad Pro 11-inch (M4) |
| Model ID | iPad16,3 |
| Motherboard | J717AP |
| 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 | 7.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4538
843.9 IPS |
|
|
Image Classification (HP)
|
100% |
5020
933.5 IPS |
|
|
Image Classification (Q)
|
96% |
4491
838.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
7117
115.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
7994
129.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
7682
124.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
27150
31.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
30994
36.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
30173
35.3 IPS |
|
|
Object Detection (SP)
|
100% |
4619
366.4 IPS |
|
|
Object Detection (HP)
|
100% |
5229
414.8 IPS |
|
|
Object Detection (Q)
|
92% |
4827
385.3 IPS |
|
|
Face Detection (SP)
|
100% |
12625
150.0 IPS |
|
|
Face Detection (HP)
|
100% |
16825
199.9 IPS |
|
|
Face Detection (Q)
|
100% |
13498
160.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
20088
154.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
22359
172.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
20367
159.1 IPS |
|
|
Style Transfer (SP)
|
100% |
56377
72.5 IPS |
|
|
Style Transfer (HP)
|
100% |
67627
86.9 IPS |
|
|
Style Transfer (Q)
|
96% |
65541
84.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11427
421.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11925
440.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10990
405.8 IPS |
|
|
Text Classification (SP)
|
100% |
3333
4.45 KIPS |
|
|
Text Classification (HP)
|
99% |
5732
7.65 KIPS |
|
|
Text Classification (Q)
|
93% |
5861
7.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
4839
83.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4931
84.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4917
85.0 IPS |
