iPad Pro 13-inch (M4)
Geekbench AI Score
4854
Single Precision Score
7973
Half Precision Score
6461
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 05 2025 11:44 PM |
| 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 13-inch (M4) |
| Model ID | iPad16,5 |
| Motherboard | J720AP |
| 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 | 7.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2020
375.6 IPS |
|
|
Image Classification (HP)
|
100% |
3318
617.0 IPS |
|
|
Image Classification (Q)
|
96% |
2324
433.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2198
35.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3352
54.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3749
60.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10049
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19048
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16559
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2263
179.5 IPS |
|
|
Object Detection (HP)
|
97% |
3789
301.7 IPS |
|
|
Object Detection (Q)
|
94% |
2748
219.0 IPS |
|
|
Face Detection (SP)
|
100% |
4126
49.0 IPS |
|
|
Face Detection (HP)
|
100% |
7910
94.0 IPS |
|
|
Face Detection (Q)
|
100% |
4649
55.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8395
64.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14870
114.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10406
81.2 IPS |
|
|
Style Transfer (SP)
|
100% |
25245
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
38169
49.1 IPS |
|
|
Style Transfer (Q)
|
96% |
31858
41.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5736
211.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6674
246.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4795
177.1 IPS |
|
|
Text Classification (SP)
|
100% |
3500
4.67 KIPS |
|
|
Text Classification (HP)
|
100% |
6170
8.24 KIPS |
|
|
Text Classification (Q)
|
93% |
6142
8.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
4102
70.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6996
120.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7047
121.8 IPS |
