iPad Pro 13-inch (M4)
Geekbench AI Score
4748
Single Precision Score
7857
Half Precision Score
6307
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 15 2025 08:52 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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% |
2016
374.9 IPS |
|
|
Image Classification (HP)
|
100% |
3335
620.3 IPS |
|
|
Image Classification (Q)
|
96% |
2336
436.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2123
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3314
53.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3683
59.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10088
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19115
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16505
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2250
178.4 IPS |
|
|
Object Detection (HP)
|
97% |
3802
302.6 IPS |
|
|
Object Detection (Q)
|
94% |
2708
215.8 IPS |
|
|
Face Detection (SP)
|
100% |
3986
47.4 IPS |
|
|
Face Detection (HP)
|
100% |
7778
92.4 IPS |
|
|
Face Detection (Q)
|
100% |
4473
53.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8297
63.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14682
113.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10197
79.6 IPS |
|
|
Style Transfer (SP)
|
100% |
25224
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38321
49.3 IPS |
|
|
Style Transfer (Q)
|
96% |
31546
40.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5848
215.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6832
252.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4871
179.9 IPS |
|
|
Text Classification (SP)
|
100% |
3128
4.18 KIPS |
|
|
Text Classification (HP)
|
100% |
5383
7.18 KIPS |
|
|
Text Classification (Q)
|
93% |
5365
7.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
3930
67.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6941
119.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6889
119.0 IPS |
