iPad Pro 13-inch (M4)
Geekbench AI Score
4845
Single Precision Score
7931
Half Precision Score
6358
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 01 2025 02:25 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| Model | iPad Pro 13-inch (M4) |
| Model ID | iPad16,5 |
| Motherboard | J720AP |
| 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% |
2079
386.7 IPS |
|
|
Image Classification (HP)
|
100% |
3326
618.6 IPS |
|
|
Image Classification (Q)
|
96% |
2337
436.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2177
35.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3191
51.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3627
58.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9980
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19453
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16595
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2410
191.2 IPS |
|
|
Object Detection (HP)
|
97% |
3789
301.6 IPS |
|
|
Object Detection (Q)
|
94% |
2681
213.7 IPS |
|
|
Face Detection (SP)
|
100% |
4299
51.1 IPS |
|
|
Face Detection (HP)
|
100% |
7778
92.4 IPS |
|
|
Face Detection (Q)
|
100% |
4457
53.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8609
66.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14552
112.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10204
79.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21861
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
38593
49.6 IPS |
|
|
Style Transfer (Q)
|
96% |
31758
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6085
224.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7263
268.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5091
188.0 IPS |
|
|
Text Classification (SP)
|
100% |
2990
3.99 KIPS |
|
|
Text Classification (HP)
|
100% |
5515
7.36 KIPS |
|
|
Text Classification (Q)
|
93% |
5448
7.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
4452
76.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7199
124.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7152
123.6 IPS |
