iPad Pro 11-inch (M4)
Geekbench AI Score
8742
Single Precision Score
10520
Half Precision Score
9483
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | oldnick |
| Upload Date | December 31 2024 12:55 PM |
| Views | 2 |
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 | iPad16,4 |
| Motherboard | J718AP |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.14 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4422
822.4 IPS |
|
|
Image Classification (HP)
|
100% |
4800
892.7 IPS |
|
|
Image Classification (Q)
|
97% |
4084
762.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
4804
77.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
6815
110.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
7129
115.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
27804
32.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
30009
35.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
28534
33.4 IPS |
|
|
Object Detection (SP)
|
100% |
4635
367.6 IPS |
|
|
Object Detection (HP)
|
100% |
5164
409.6 IPS |
|
|
Object Detection (Q)
|
91% |
4411
352.4 IPS |
|
|
Face Detection (SP)
|
100% |
12649
150.3 IPS |
|
|
Face Detection (HP)
|
100% |
16224
192.8 IPS |
|
|
Face Detection (Q)
|
100% |
11908
141.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
20205
155.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
22234
171.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
19277
150.7 IPS |
|
|
Style Transfer (SP)
|
100% |
56943
73.2 IPS |
|
|
Style Transfer (HP)
|
100% |
66687
85.7 IPS |
|
|
Style Transfer (Q)
|
96% |
62588
80.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11473
423.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12525
462.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10285
379.8 IPS |
|
|
Text Classification (SP)
|
100% |
2963
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5189
6.93 KIPS |
|
|
Text Classification (Q)
|
93% |
5186
6.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
1925
33.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2095
36.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2095
36.2 IPS |
