iPad Pro (M4) - 2025_0515 iPad Pro 13-inch (M4)
Geekbench AI Score
4803
Single Precision Score
7898
Half Precision Score
6275
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Barritz |
| Upload Date | May 16 2025 03:18 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
2065
384.0 IPS |
|
|
Image Classification (HP)
|
100% |
3372
627.0 IPS |
|
|
Image Classification (Q)
|
96% |
2295
428.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2159
35.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3272
53.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3540
57.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9996
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19438
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16631
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2416
191.6 IPS |
|
|
Object Detection (HP)
|
97% |
3807
303.1 IPS |
|
|
Object Detection (Q)
|
94% |
2687
214.2 IPS |
|
|
Face Detection (SP)
|
100% |
4310
51.2 IPS |
|
|
Face Detection (HP)
|
100% |
7673
91.2 IPS |
|
|
Face Detection (Q)
|
100% |
4388
52.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8582
66.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14489
112.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10134
79.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21664
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
38444
49.4 IPS |
|
|
Style Transfer (Q)
|
96% |
31591
40.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6095
225.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7244
267.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5076
187.4 IPS |
|
|
Text Classification (SP)
|
100% |
2919
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
5362
7.16 KIPS |
|
|
Text Classification (Q)
|
93% |
5110
6.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
4264
73.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6971
120.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7164
123.8 IPS |
