iPad Pro 13-inch (M4)
Geekbench AI Score
4817
Single Precision Score
7879
Half Precision Score
6251
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 17 2025 10:52 PM |
| Views | 1 |
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% |
2013
374.4 IPS |
|
|
Image Classification (HP)
|
100% |
3344
621.9 IPS |
|
|
Image Classification (Q)
|
96% |
2155
402.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2188
35.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3130
50.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3396
55.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9971
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19397
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
15816
18.5 IPS |
|
|
Object Detection (SP)
|
100% |
2410
191.1 IPS |
|
|
Object Detection (HP)
|
97% |
3732
297.1 IPS |
|
|
Object Detection (Q)
|
94% |
2707
215.8 IPS |
|
|
Face Detection (SP)
|
100% |
4331
51.5 IPS |
|
|
Face Detection (HP)
|
100% |
7706
91.6 IPS |
|
|
Face Detection (Q)
|
100% |
4473
53.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8585
66.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14551
112.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10199
79.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22022
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38503
49.5 IPS |
|
|
Style Transfer (Q)
|
96% |
31738
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6117
225.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7127
263.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5028
185.6 IPS |
|
|
Text Classification (SP)
|
100% |
2910
3.88 KIPS |
|
|
Text Classification (HP)
|
100% |
5531
7.38 KIPS |
|
|
Text Classification (Q)
|
93% |
5567
7.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
4369
75.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7156
123.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7176
124.0 IPS |
