iPad Pro 13-inch (M4)
Geekbench AI Score
4738
Single Precision Score
7844
Half Precision Score
6307
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | MaverickCougar |
| Upload Date | February 28 2025 02:22 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
2021
375.8 IPS |
|
|
Image Classification (HP)
|
100% |
3287
611.3 IPS |
|
|
Image Classification (Q)
|
96% |
2320
433.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2108
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3303
53.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3659
59.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10036
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19107
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16435
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2245
178.0 IPS |
|
|
Object Detection (HP)
|
97% |
3797
302.3 IPS |
|
|
Object Detection (Q)
|
94% |
2705
215.6 IPS |
|
|
Face Detection (SP)
|
100% |
4005
47.6 IPS |
|
|
Face Detection (HP)
|
100% |
7820
92.9 IPS |
|
|
Face Detection (Q)
|
100% |
4499
53.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8285
63.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14658
113.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10209
79.7 IPS |
|
|
Style Transfer (SP)
|
100% |
25187
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38068
48.9 IPS |
|
|
Style Transfer (Q)
|
96% |
31568
40.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5863
216.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6785
250.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4873
179.9 IPS |
|
|
Text Classification (SP)
|
100% |
3105
4.14 KIPS |
|
|
Text Classification (HP)
|
100% |
5408
7.22 KIPS |
|
|
Text Classification (Q)
|
93% |
5379
7.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3906
67.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6998
120.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6947
120.1 IPS |
