iPad Pro 11-inch (M4)
Geekbench AI Score
4722
Single Precision Score
7878
Half Precision Score
6309
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | iKayla |
| Upload Date | February 27 2025 03:13 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
2002
372.3 IPS |
|
|
Image Classification (HP)
|
100% |
3332
619.6 IPS |
|
|
Image Classification (Q)
|
96% |
2329
434.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2109
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3298
53.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3597
58.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10046
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19117
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16467
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2246
178.1 IPS |
|
|
Object Detection (HP)
|
97% |
3827
304.7 IPS |
|
|
Object Detection (Q)
|
94% |
2708
215.9 IPS |
|
|
Face Detection (SP)
|
100% |
3984
47.3 IPS |
|
|
Face Detection (HP)
|
100% |
7750
92.1 IPS |
|
|
Face Detection (Q)
|
100% |
4447
52.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8333
64.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14724
113.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10196
79.6 IPS |
|
|
Style Transfer (SP)
|
100% |
25088
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
37840
48.6 IPS |
|
|
Style Transfer (Q)
|
96% |
31221
40.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5839
215.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6895
254.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4858
179.4 IPS |
|
|
Text Classification (SP)
|
100% |
3001
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
5561
7.42 KIPS |
|
|
Text Classification (Q)
|
93% |
5647
7.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
3965
68.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6922
119.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6896
119.2 IPS |
