iPad Pro 11-inch (M4)
Geekbench AI Score
9494
Single Precision Score
10952
Half Precision Score
10256
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | croman247 |
| Upload Date | October 06 2025 02:56 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
4506
837.9 IPS |
|
|
Image Classification (HP)
|
100% |
5049
938.9 IPS |
|
|
Image Classification (Q)
|
96% |
4631
864.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
7171
116.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
7991
129.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
7698
124.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
27834
32.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
29831
34.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
29529
34.6 IPS |
|
|
Object Detection (SP)
|
100% |
4652
369.0 IPS |
|
|
Object Detection (HP)
|
100% |
5259
417.1 IPS |
|
|
Object Detection (Q)
|
92% |
4838
386.2 IPS |
|
|
Face Detection (SP)
|
100% |
12838
152.5 IPS |
|
|
Face Detection (HP)
|
100% |
16799
199.6 IPS |
|
|
Face Detection (Q)
|
100% |
13516
160.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
20594
158.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
21964
169.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
20538
160.4 IPS |
|
|
Style Transfer (SP)
|
100% |
57440
73.8 IPS |
|
|
Style Transfer (HP)
|
100% |
66121
85.0 IPS |
|
|
Style Transfer (Q)
|
96% |
64409
83.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12007
443.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11731
433.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10497
387.6 IPS |
|
|
Text Classification (SP)
|
100% |
2998
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
5530
7.38 KIPS |
|
|
Text Classification (Q)
|
93% |
5481
7.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
2603
44.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2479
42.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2459
42.5 IPS |
