iPad Pro 11-inch (M4)
Geekbench AI Score
4927
Single Precision Score
8040
Half Precision Score
6429
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 17 2026 01:22 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
2003
372.6 IPS |
|
|
Image Classification (HP)
|
100% |
3428
637.4 IPS |
|
|
Image Classification (Q)
|
96% |
2362
441.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2144
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3204
51.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3529
57.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10052
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19492
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16618
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2442
193.7 IPS |
|
|
Object Detection (HP)
|
97% |
3836
305.4 IPS |
|
|
Object Detection (Q)
|
94% |
2689
214.3 IPS |
|
|
Face Detection (SP)
|
100% |
4217
50.1 IPS |
|
|
Face Detection (HP)
|
100% |
7684
91.3 IPS |
|
|
Face Detection (Q)
|
100% |
4389
52.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8513
65.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14052
108.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9870
77.0 IPS |
|
|
Style Transfer (SP)
|
100% |
24505
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
38682
49.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31745
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6064
223.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7251
267.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5001
184.7 IPS |
|
|
Text Classification (SP)
|
100% |
3246
4.33 KIPS |
|
|
Text Classification (HP)
|
99% |
5738
7.66 KIPS |
|
|
Text Classification (Q)
|
93% |
5832
7.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
4623
79.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7918
136.8 IPS |
|
|
Machine Translation (Q)
|
98% |
8083
139.7 IPS |
