iPad Pro 11-inch (M4)
Geekbench AI Score
4697
Single Precision Score
7826
Half Precision Score
6257
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | iGeneration |
| Upload Date | December 30 2024 11:03 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1958
364.1 IPS |
|
|
Image Classification (HP)
|
100% |
3342
621.6 IPS |
|
|
Image Classification (Q)
|
96% |
2305
430.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2126
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3325
53.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3644
59.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10078
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19095
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16484
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2210
175.3 IPS |
|
|
Object Detection (HP)
|
97% |
3796
302.2 IPS |
|
|
Object Detection (Q)
|
94% |
2682
213.8 IPS |
|
|
Face Detection (SP)
|
100% |
3962
47.1 IPS |
|
|
Face Detection (HP)
|
100% |
7766
92.3 IPS |
|
|
Face Detection (Q)
|
100% |
4466
53.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8313
64.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14695
113.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10173
79.4 IPS |
|
|
Style Transfer (SP)
|
100% |
25157
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
37991
48.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31348
40.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5865
216.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6878
254.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4859
179.4 IPS |
|
|
Text Classification (SP)
|
100% |
2980
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
5259
7.02 KIPS |
|
|
Text Classification (Q)
|
93% |
5230
7.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
3898
67.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6824
117.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6850
118.4 IPS |
