iPad Pro 11-inch (M4)
Geekbench AI Score
4710
Single Precision Score
36529
Half Precision Score
51291
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | iGeneration |
| Upload Date | December 30 2024 11:06 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
1990
370.1 IPS |
|
|
Image Classification (HP)
|
100% |
17688
3.29 KIPS |
|
|
Image Classification (Q)
|
97% |
24402
4.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2147
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
22061
357.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
30379
492.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10066
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123521
144.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
233077
273.2 IPS |
|
|
Object Detection (SP)
|
100% |
2213
175.5 IPS |
|
|
Object Detection (HP)
|
100% |
18262
1.45 KIPS |
|
|
Object Detection (Q)
|
91% |
25632
2.05 KIPS |
|
|
Face Detection (SP)
|
100% |
4017
47.7 IPS |
|
|
Face Detection (HP)
|
100% |
43692
519.2 IPS |
|
|
Face Detection (Q)
|
100% |
63796
758.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8306
64.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
98545
759.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
169653
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
25090
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
233446
300.1 IPS |
|
|
Style Transfer (Q)
|
96% |
296125
382.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5844
215.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48687
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83958
3.10 KIPS |
|
|
Text Classification (SP)
|
100% |
2967
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5993
8.00 KIPS |
|
|
Text Classification (Q)
|
93% |
5869
7.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
3895
67.1 IPS |
|
|
Machine Translation (HP)
|
100% |
16388
282.3 IPS |
|
|
Machine Translation (Q)
|
98% |
18020
311.4 IPS |
