iPad Pro 13-inch (M4)
Geekbench AI Score
4567
Single Precision Score
7774
Half Precision Score
6173
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 27 2024 07:27 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 13-inch (M4) |
| Model ID | iPad16,6 |
| Motherboard | J721AP |
| 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 | 15.06 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1893
352.0 IPS |
|
|
Image Classification (HP)
|
100% |
3261
606.4 IPS |
|
|
Image Classification (Q)
|
96% |
2229
416.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2014
32.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3248
52.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3555
57.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9201
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19023
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15971
18.7 IPS |
|
|
Object Detection (SP)
|
100% |
2192
173.8 IPS |
|
|
Object Detection (HP)
|
97% |
3753
298.8 IPS |
|
|
Object Detection (Q)
|
94% |
2671
212.9 IPS |
|
|
Face Detection (SP)
|
100% |
3697
43.9 IPS |
|
|
Face Detection (HP)
|
100% |
7253
86.2 IPS |
|
|
Face Detection (Q)
|
100% |
4341
51.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8294
63.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14564
112.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9974
77.9 IPS |
|
|
Style Transfer (SP)
|
100% |
24972
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
38410
49.4 IPS |
|
|
Style Transfer (Q)
|
96% |
31424
40.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5839
215.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6923
255.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4820
178.0 IPS |
|
|
Text Classification (SP)
|
100% |
3043
4.06 KIPS |
|
|
Text Classification (HP)
|
100% |
5570
7.43 KIPS |
|
|
Text Classification (Q)
|
93% |
5391
7.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3780
65.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6816
117.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6725
116.2 IPS |
