iPad Pro 13-inch (M4)
Geekbench AI Score
10084
Single Precision Score
12010
Half Precision Score
10475
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 16 2026 07:08 AM |
| Views | 2 |
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, 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% |
4626
860.2 IPS |
|
|
Image Classification (HP)
|
100% |
5019
933.4 IPS |
|
|
Image Classification (Q)
|
94% |
4493
839.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
7165
116.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
8070
130.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
7761
125.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
27149
31.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
30973
36.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
30165
35.3 IPS |
|
|
Object Detection (SP)
|
100% |
4726
374.8 IPS |
|
|
Object Detection (HP)
|
100% |
5337
423.3 IPS |
|
|
Object Detection (Q)
|
90% |
4887
390.7 IPS |
|
|
Face Detection (SP)
|
100% |
13145
156.2 IPS |
|
|
Face Detection (HP)
|
100% |
17822
211.8 IPS |
|
|
Face Detection (Q)
|
100% |
13958
165.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
20128
155.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
22351
172.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
20583
161.0 IPS |
|
|
Style Transfer (SP)
|
100% |
54582
70.2 IPS |
|
|
Style Transfer (HP)
|
100% |
67525
86.8 IPS |
|
|
Style Transfer (Q)
|
96% |
65298
84.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11404
421.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11946
441.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10275
379.4 IPS |
|
|
Text Classification (SP)
|
100% |
3201
4.27 KIPS |
|
|
Text Classification (HP)
|
99% |
5806
7.75 KIPS |
|
|
Text Classification (Q)
|
93% |
5651
7.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
4850
83.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5001
86.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2843
49.1 IPS |
