iPad Pro 11-inch (M4)
Geekbench AI Score
8817
Single Precision Score
10613
Half Precision Score
9566
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ESPD |
| Upload Date | December 15 2024 05:04 AM |
| Views | 3 |
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% |
4422
822.4 IPS |
|
|
Image Classification (HP)
|
100% |
4824
897.1 IPS |
|
|
Image Classification (Q)
|
97% |
4116
768.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
4879
79.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
6752
109.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
7191
116.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
27986
32.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
30022
35.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
28585
33.5 IPS |
|
|
Object Detection (SP)
|
100% |
4661
369.8 IPS |
|
|
Object Detection (HP)
|
100% |
5274
418.3 IPS |
|
|
Object Detection (Q)
|
91% |
4429
353.9 IPS |
|
|
Face Detection (SP)
|
100% |
12842
152.6 IPS |
|
|
Face Detection (HP)
|
100% |
16413
195.0 IPS |
|
|
Face Detection (Q)
|
100% |
11976
142.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
20300
156.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
22345
172.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
19380
151.5 IPS |
|
|
Style Transfer (SP)
|
100% |
56864
73.1 IPS |
|
|
Style Transfer (HP)
|
100% |
66735
85.8 IPS |
|
|
Style Transfer (Q)
|
96% |
62776
81.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11628
429.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12627
466.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10343
381.9 IPS |
|
|
Text Classification (SP)
|
100% |
3037
4.05 KIPS |
|
|
Text Classification (HP)
|
100% |
5610
7.49 KIPS |
|
|
Text Classification (Q)
|
93% |
5414
7.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
1928
33.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2028
34.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2099
36.3 IPS |
