iPad Pro 11-inch (M4)
Geekbench AI Score
4736
Single Precision Score
7876
Half Precision Score
6319
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 22 2024 12:46 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% |
2012
374.2 IPS |
|
|
Image Classification (HP)
|
100% |
3266
607.4 IPS |
|
|
Image Classification (Q)
|
96% |
2306
430.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2150
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3334
54.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3659
59.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10120
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19122
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16499
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2248
178.3 IPS |
|
|
Object Detection (HP)
|
97% |
3832
305.1 IPS |
|
|
Object Detection (Q)
|
94% |
2710
216.0 IPS |
|
|
Face Detection (SP)
|
100% |
3983
47.3 IPS |
|
|
Face Detection (HP)
|
100% |
7775
92.4 IPS |
|
|
Face Detection (Q)
|
100% |
4478
53.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8313
64.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14701
113.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10201
79.6 IPS |
|
|
Style Transfer (SP)
|
100% |
25179
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
37961
48.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31363
40.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5867
216.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6840
252.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4833
178.5 IPS |
|
|
Text Classification (SP)
|
100% |
2997
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
5641
7.53 KIPS |
|
|
Text Classification (Q)
|
93% |
5647
7.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
3940
67.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6878
118.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6882
118.9 IPS |
