iPad Pro 11-inch (M4)
Geekbench AI Score
9664
Single Precision Score
11209
Half Precision Score
10313
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 24 2025 01:51 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.7.1 |
| 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% |
4448
827.2 IPS |
|
|
Image Classification (HP)
|
100% |
4840
900.0 IPS |
|
|
Image Classification (Q)
|
96% |
4528
845.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
7132
115.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
7934
128.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
7629
123.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
27552
32.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
29755
34.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
29640
34.7 IPS |
|
|
Object Detection (SP)
|
100% |
4527
359.1 IPS |
|
|
Object Detection (HP)
|
100% |
5157
409.1 IPS |
|
|
Object Detection (Q)
|
92% |
4727
377.3 IPS |
|
|
Face Detection (SP)
|
100% |
12537
149.0 IPS |
|
|
Face Detection (HP)
|
100% |
16529
196.4 IPS |
|
|
Face Detection (Q)
|
100% |
13287
157.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
20361
156.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
22030
169.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
20548
160.5 IPS |
|
|
Style Transfer (SP)
|
100% |
56154
72.2 IPS |
|
|
Style Transfer (HP)
|
100% |
65776
84.6 IPS |
|
|
Style Transfer (Q)
|
96% |
63929
82.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11597
428.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11598
428.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10432
385.2 IPS |
|
|
Text Classification (SP)
|
100% |
2974
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
5511
7.36 KIPS |
|
|
Text Classification (Q)
|
93% |
5501
7.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
3634
62.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3471
59.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2810
48.6 IPS |
