iPad Pro 13-inch (M4)
Geekbench AI Score
4969
Single Precision Score
8045
Half Precision Score
6464
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 22 2025 07:41 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| Model | iPad Pro 13-inch (M4) |
| Model ID | iPad16,5 |
| Motherboard | J720AP |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 7.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2111
392.7 IPS |
|
|
Image Classification (HP)
|
100% |
3367
626.1 IPS |
|
|
Image Classification (Q)
|
96% |
2354
439.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2173
35.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3247
52.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3572
57.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10046
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19475
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16667
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2456
194.8 IPS |
|
|
Object Detection (HP)
|
97% |
3817
303.9 IPS |
|
|
Object Detection (Q)
|
94% |
2717
216.6 IPS |
|
|
Face Detection (SP)
|
100% |
4316
51.3 IPS |
|
|
Face Detection (HP)
|
100% |
7756
92.2 IPS |
|
|
Face Detection (Q)
|
100% |
4455
52.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8571
66.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14146
109.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9980
77.9 IPS |
|
|
Style Transfer (SP)
|
100% |
24431
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38773
49.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31902
41.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6014
222.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7143
263.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4965
183.3 IPS |
|
|
Text Classification (SP)
|
100% |
3241
4.33 KIPS |
|
|
Text Classification (HP)
|
99% |
5717
7.63 KIPS |
|
|
Text Classification (Q)
|
93% |
5900
7.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
4603
79.3 IPS |
|
|
Machine Translation (HP)
|
98% |
8046
139.0 IPS |
|
|
Machine Translation (Q)
|
98% |
8055
139.2 IPS |
