iPad Pro 11-inch (M4)
Geekbench AI Score
8824
Single Precision Score
10615
Half Precision Score
9562
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 01 2025 07:24 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
4452
827.9 IPS |
|
|
Image Classification (HP)
|
100% |
4833
898.8 IPS |
|
|
Image Classification (Q)
|
97% |
4126
769.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
4820
78.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
6719
108.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
7151
115.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
27991
32.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
30098
35.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
28600
33.5 IPS |
|
|
Object Detection (SP)
|
100% |
4701
372.9 IPS |
|
|
Object Detection (HP)
|
100% |
5195
412.0 IPS |
|
|
Object Detection (Q)
|
91% |
4442
354.9 IPS |
|
|
Face Detection (SP)
|
100% |
12864
152.8 IPS |
|
|
Face Detection (HP)
|
100% |
16420
195.1 IPS |
|
|
Face Detection (Q)
|
100% |
12006
142.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
20250
156.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
22431
172.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
19441
152.0 IPS |
|
|
Style Transfer (SP)
|
100% |
55788
71.7 IPS |
|
|
Style Transfer (HP)
|
100% |
67333
86.6 IPS |
|
|
Style Transfer (Q)
|
96% |
63202
81.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11802
435.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12615
465.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10248
378.4 IPS |
|
|
Text Classification (SP)
|
100% |
2996
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
5497
7.34 KIPS |
|
|
Text Classification (Q)
|
93% |
5555
7.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
1974
34.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2082
35.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2030
35.1 IPS |
