iPad Pro 11-inch (M4)
Geekbench AI Score
4963
Single Precision Score
8062
Half Precision Score
6457
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | February 05 2026 04:55 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.2.1 |
| Model | iPad Pro 11-inch (M4) |
| Model ID | iPad16,4 |
| Motherboard | J718AP |
| 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 | 15.14 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2124
395.0 IPS |
|
|
Image Classification (HP)
|
100% |
3420
636.0 IPS |
|
|
Image Classification (Q)
|
96% |
2365
441.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2133
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3214
52.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3553
57.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10089
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19503
22.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
16680
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
2459
195.1 IPS |
|
|
Object Detection (HP)
|
97% |
3805
302.9 IPS |
|
|
Object Detection (Q)
|
94% |
2731
217.7 IPS |
|
|
Face Detection (SP)
|
100% |
4279
50.8 IPS |
|
|
Face Detection (HP)
|
100% |
7698
91.5 IPS |
|
|
Face Detection (Q)
|
100% |
4462
53.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8557
65.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14124
109.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9978
77.9 IPS |
|
|
Style Transfer (SP)
|
100% |
24321
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38795
49.9 IPS |
|
|
Style Transfer (Q)
|
96% |
31943
41.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6114
225.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7300
269.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4987
184.2 IPS |
|
|
Text Classification (SP)
|
100% |
3252
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
5702
7.61 KIPS |
|
|
Text Classification (Q)
|
93% |
5726
7.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
4561
78.6 IPS |
|
|
Machine Translation (HP)
|
98% |
8105
140.0 IPS |
|
|
Machine Translation (Q)
|
98% |
8111
140.2 IPS |
