iPad Pro 13-inch (M4)
Geekbench AI Score
10291
Single Precision Score
12232
Half Precision Score
11628
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | February 09 2026 03:59 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| Model | iPad Pro 13-inch (M4) |
| Model ID | iPad16,6 |
| Motherboard | J721AP |
| 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 | 7.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4817
895.8 IPS |
|
|
Image Classification (HP)
|
100% |
5086
945.9 IPS |
|
|
Image Classification (Q)
|
96% |
4929
920.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
7123
115.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
8034
130.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
7768
125.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
27076
31.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
30966
36.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
30156
35.3 IPS |
|
|
Object Detection (SP)
|
100% |
4747
376.5 IPS |
|
|
Object Detection (HP)
|
100% |
5361
425.2 IPS |
|
|
Object Detection (Q)
|
91% |
5173
413.4 IPS |
|
|
Face Detection (SP)
|
100% |
13133
156.1 IPS |
|
|
Face Detection (HP)
|
100% |
17821
211.8 IPS |
|
|
Face Detection (Q)
|
100% |
16461
195.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
20133
155.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
22421
172.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
21051
164.7 IPS |
|
|
Style Transfer (SP)
|
100% |
56103
72.1 IPS |
|
|
Style Transfer (HP)
|
100% |
67472
86.7 IPS |
|
|
Style Transfer (Q)
|
96% |
65179
84.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11349
419.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11775
434.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10266
379.1 IPS |
|
|
Text Classification (SP)
|
100% |
3288
4.39 KIPS |
|
|
Text Classification (HP)
|
99% |
5886
7.86 KIPS |
|
|
Text Classification (Q)
|
93% |
5889
7.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
5458
94.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5920
102.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5542
95.8 IPS |
