iPad Pro 11-inch (M4)
Geekbench AI Score
4659
Single Precision Score
7785
Half Precision Score
6207
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 02 2025 01:06 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| Model | iPad Pro 11-inch (M4) |
| Model ID | iPad16,4 |
| Motherboard | J718AP |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.14 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1976
367.5 IPS |
|
|
Image Classification (HP)
|
100% |
3358
624.6 IPS |
|
|
Image Classification (Q)
|
96% |
2276
425.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2060
33.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3278
53.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3545
57.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9955
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19015
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16376
19.2 IPS |
|
|
Object Detection (SP)
|
100% |
2227
176.6 IPS |
|
|
Object Detection (HP)
|
97% |
3812
303.5 IPS |
|
|
Object Detection (Q)
|
94% |
2680
213.6 IPS |
|
|
Face Detection (SP)
|
100% |
3924
46.6 IPS |
|
|
Face Detection (HP)
|
100% |
7583
90.1 IPS |
|
|
Face Detection (Q)
|
100% |
4398
52.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8235
63.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14551
112.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10146
79.2 IPS |
|
|
Style Transfer (SP)
|
100% |
25011
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
38043
48.9 IPS |
|
|
Style Transfer (Q)
|
96% |
31440
40.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5770
213.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6863
253.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4833
178.5 IPS |
|
|
Text Classification (SP)
|
100% |
2964
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5162
6.89 KIPS |
|
|
Text Classification (Q)
|
93% |
5127
6.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
3871
66.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6895
119.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6901
119.3 IPS |
