iPad Pro 11-inch (M4)
Geekbench AI Score
4747
Single Precision Score
7848
Half Precision Score
6236
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 07 2025 09:57 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, 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% |
1944
361.4 IPS |
|
|
Image Classification (HP)
|
100% |
3320
617.5 IPS |
|
|
Image Classification (Q)
|
96% |
2316
432.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2098
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3185
51.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3294
53.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9553
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
18392
21.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15836
18.6 IPS |
|
|
Object Detection (SP)
|
100% |
2229
176.8 IPS |
|
|
Object Detection (HP)
|
97% |
3790
301.7 IPS |
|
|
Object Detection (Q)
|
94% |
2658
211.9 IPS |
|
|
Face Detection (SP)
|
100% |
3882
46.1 IPS |
|
|
Face Detection (HP)
|
100% |
7554
89.8 IPS |
|
|
Face Detection (Q)
|
100% |
4365
51.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8042
62.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14533
112.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10158
79.3 IPS |
|
|
Style Transfer (SP)
|
100% |
25254
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
38615
49.6 IPS |
|
|
Style Transfer (Q)
|
96% |
31438
40.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5861
216.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7030
259.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4991
184.3 IPS |
|
|
Text Classification (SP)
|
100% |
3556
4.75 KIPS |
|
|
Text Classification (HP)
|
100% |
6248
8.34 KIPS |
|
|
Text Classification (Q)
|
93% |
6229
8.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
4074
70.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6463
111.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6396
110.5 IPS |
