iPad Pro 11-inch (M4)
Geekbench AI Score
9364
Single Precision Score
10459
Half Precision Score
9934
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 02 2025 09:34 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
4498
836.5 IPS |
|
|
Image Classification (HP)
|
100% |
4858
903.5 IPS |
|
|
Image Classification (Q)
|
96% |
4464
833.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
7062
114.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
7835
127.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
7532
122.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
27599
32.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
29699
34.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
28702
33.6 IPS |
|
|
Object Detection (SP)
|
100% |
4524
358.8 IPS |
|
|
Object Detection (HP)
|
100% |
5160
409.3 IPS |
|
|
Object Detection (Q)
|
92% |
4650
371.2 IPS |
|
|
Face Detection (SP)
|
100% |
12335
146.6 IPS |
|
|
Face Detection (HP)
|
100% |
16282
193.5 IPS |
|
|
Face Detection (Q)
|
100% |
13183
156.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
20271
156.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
22191
171.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
20380
159.4 IPS |
|
|
Style Transfer (SP)
|
100% |
54484
70.0 IPS |
|
|
Style Transfer (HP)
|
100% |
65932
84.8 IPS |
|
|
Style Transfer (Q)
|
96% |
63827
82.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11629
429.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12750
470.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10972
405.1 IPS |
|
|
Text Classification (SP)
|
100% |
2997
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
5419
7.23 KIPS |
|
|
Text Classification (Q)
|
93% |
5484
7.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
2753
47.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1633
28.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2022
34.9 IPS |
