iPad Pro 11-inch (M4)
Geekbench AI Score
4971
Single Precision Score
8093
Half Precision Score
6431
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 07 2025 01:55 AM |
| Views | 3 |
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 | iPad16,3 |
| 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% |
2104
391.3 IPS |
|
|
Image Classification (HP)
|
100% |
3403
632.9 IPS |
|
|
Image Classification (Q)
|
96% |
2367
442.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2165
35.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3256
52.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3548
57.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10068
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19504
22.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
16672
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2435
193.1 IPS |
|
|
Object Detection (HP)
|
97% |
3826
304.6 IPS |
|
|
Object Detection (Q)
|
94% |
2711
216.1 IPS |
|
|
Face Detection (SP)
|
100% |
4306
51.2 IPS |
|
|
Face Detection (HP)
|
100% |
7705
91.6 IPS |
|
|
Face Detection (Q)
|
100% |
4424
52.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8528
65.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14082
108.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9927
77.5 IPS |
|
|
Style Transfer (SP)
|
100% |
24448
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38677
49.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31761
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6046
223.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7206
266.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4967
183.4 IPS |
|
|
Text Classification (SP)
|
100% |
3316
4.43 KIPS |
|
|
Text Classification (HP)
|
99% |
5964
7.96 KIPS |
|
|
Text Classification (Q)
|
93% |
5709
7.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
4585
79.0 IPS |
|
|
Machine Translation (HP)
|
98% |
8091
139.8 IPS |
|
|
Machine Translation (Q)
|
98% |
8065
139.4 IPS |
