iPad Pro 11-inch (M4)
Geekbench AI Score
4867
Single Precision Score
8016
Half Precision Score
6374
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 08 2025 09:55 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
2073
385.6 IPS |
|
|
Image Classification (HP)
|
100% |
3434
638.6 IPS |
|
|
Image Classification (Q)
|
96% |
2306
430.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2098
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3191
51.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3497
56.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9984
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19445
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16628
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2420
192.0 IPS |
|
|
Object Detection (HP)
|
97% |
3815
303.7 IPS |
|
|
Object Detection (Q)
|
94% |
2677
213.3 IPS |
|
|
Face Detection (SP)
|
100% |
3861
45.9 IPS |
|
|
Face Detection (HP)
|
100% |
7552
89.7 IPS |
|
|
Face Detection (Q)
|
100% |
4324
51.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8439
65.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
13972
108.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9812
76.6 IPS |
|
|
Style Transfer (SP)
|
100% |
24338
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38648
49.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31689
40.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6059
223.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7189
265.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4989
184.2 IPS |
|
|
Text Classification (SP)
|
100% |
3305
4.41 KIPS |
|
|
Text Classification (HP)
|
99% |
5759
7.69 KIPS |
|
|
Text Classification (Q)
|
93% |
5726
7.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
4478
77.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7988
138.0 IPS |
|
|
Machine Translation (Q)
|
98% |
8038
138.9 IPS |
