iPad Pro 11-inch (M4)
Geekbench AI Score
8823
Single Precision Score
10580
Half Precision Score
9561
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | fug-mann |
| Upload Date | March 08 2025 09:55 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| Model | iPad Pro 11-inch (M4) |
| Model ID | iPad16,4 |
| Motherboard | J718AP |
| 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% |
4384
815.4 IPS |
|
|
Image Classification (HP)
|
100% |
4820
896.4 IPS |
|
|
Image Classification (Q)
|
97% |
4122
769.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4897
79.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
6705
108.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
7151
115.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
27927
32.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
30004
35.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
28575
33.5 IPS |
|
|
Object Detection (SP)
|
100% |
4673
370.6 IPS |
|
|
Object Detection (HP)
|
100% |
5227
414.6 IPS |
|
|
Object Detection (Q)
|
91% |
4445
355.2 IPS |
|
|
Face Detection (SP)
|
100% |
12907
153.4 IPS |
|
|
Face Detection (HP)
|
100% |
16476
195.8 IPS |
|
|
Face Detection (Q)
|
100% |
12047
143.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
20261
156.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
22310
171.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
19294
150.8 IPS |
|
|
Style Transfer (SP)
|
100% |
56485
72.6 IPS |
|
|
Style Transfer (HP)
|
100% |
66726
85.8 IPS |
|
|
Style Transfer (Q)
|
96% |
62770
81.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11552
426.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12641
466.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10289
379.9 IPS |
|
|
Text Classification (SP)
|
100% |
3016
4.03 KIPS |
|
|
Text Classification (HP)
|
100% |
5342
7.13 KIPS |
|
|
Text Classification (Q)
|
93% |
5452
7.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
1983
34.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2094
36.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2084
36.0 IPS |
