iPad Pro 11-inch (M4)
Geekbench AI Score
4656
Single Precision Score
7755
Half Precision Score
6221
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 22 2024 12:33 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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, 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% |
1976
367.5 IPS |
|
|
Image Classification (HP)
|
100% |
3323
618.0 IPS |
|
|
Image Classification (Q)
|
96% |
2336
436.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2159
35.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3314
53.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3630
58.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9941
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19094
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16492
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2240
177.7 IPS |
|
|
Object Detection (HP)
|
97% |
3778
300.8 IPS |
|
|
Object Detection (Q)
|
94% |
2686
214.1 IPS |
|
|
Face Detection (SP)
|
100% |
3891
46.2 IPS |
|
|
Face Detection (HP)
|
100% |
7545
89.6 IPS |
|
|
Face Detection (Q)
|
100% |
4407
52.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8331
64.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14654
113.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10154
79.3 IPS |
|
|
Style Transfer (SP)
|
100% |
23635
30.4 IPS |
|
|
Style Transfer (HP)
|
100% |
36571
47.0 IPS |
|
|
Style Transfer (Q)
|
96% |
30321
39.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5599
206.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6656
245.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4703
173.7 IPS |
|
|
Text Classification (SP)
|
100% |
2983
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
5383
7.19 KIPS |
|
|
Text Classification (Q)
|
93% |
5322
7.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
3940
67.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6837
118.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6816
117.8 IPS |
