iPad Pro 11-inch (M4)
Geekbench AI Score
9353
Single Precision Score
11260
Half Precision Score
9957
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 06 2025 05:15 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
4465
830.4 IPS |
|
|
Image Classification (HP)
|
100% |
4793
891.3 IPS |
|
|
Image Classification (Q)
|
96% |
4386
819.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
7072
114.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
7945
128.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
7643
123.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
26958
31.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
30976
36.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
30112
35.3 IPS |
|
|
Object Detection (SP)
|
100% |
4537
359.9 IPS |
|
|
Object Detection (HP)
|
100% |
5095
404.2 IPS |
|
|
Object Detection (Q)
|
92% |
4734
377.9 IPS |
|
|
Face Detection (SP)
|
100% |
12581
149.5 IPS |
|
|
Face Detection (HP)
|
100% |
16562
196.8 IPS |
|
|
Face Detection (Q)
|
100% |
13328
158.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
19858
153.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
22049
169.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
20166
157.5 IPS |
|
|
Style Transfer (SP)
|
100% |
55135
70.9 IPS |
|
|
Style Transfer (HP)
|
100% |
66864
86.0 IPS |
|
|
Style Transfer (Q)
|
96% |
64636
83.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11091
409.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11534
425.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10122
373.7 IPS |
|
|
Text Classification (SP)
|
100% |
3256
4.35 KIPS |
|
|
Text Classification (HP)
|
99% |
5596
7.47 KIPS |
|
|
Text Classification (Q)
|
93% |
5582
7.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
2668
46.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3461
59.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2043
35.3 IPS |
