iPad Pro 13-inch (M4)
Geekbench AI Score
5019
Single Precision Score
8050
Half Precision Score
6406
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | dynamiteCobra88 |
| Upload Date | September 27 2025 10:16 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad Pro 13-inch (M4) |
| Model ID | iPad16,6 |
| Motherboard | J721AP |
| 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% |
2107
391.9 IPS |
|
|
Image Classification (HP)
|
100% |
3377
628.1 IPS |
|
|
Image Classification (Q)
|
96% |
2334
435.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2159
35.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3194
51.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3500
56.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9949
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19458
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16614
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2432
192.9 IPS |
|
|
Object Detection (HP)
|
97% |
3841
305.8 IPS |
|
|
Object Detection (Q)
|
94% |
2700
215.2 IPS |
|
|
Face Detection (SP)
|
100% |
4234
50.3 IPS |
|
|
Face Detection (HP)
|
100% |
7646
90.9 IPS |
|
|
Face Detection (Q)
|
100% |
4395
52.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8516
65.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14043
108.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9885
77.2 IPS |
|
|
Style Transfer (SP)
|
100% |
24534
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
38573
49.6 IPS |
|
|
Style Transfer (Q)
|
96% |
31701
40.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6011
222.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7176
265.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4999
184.6 IPS |
|
|
Text Classification (SP)
|
100% |
3766
5.03 KIPS |
|
|
Text Classification (HP)
|
99% |
5930
7.92 KIPS |
|
|
Text Classification (Q)
|
93% |
5688
7.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
4604
79.3 IPS |
|
|
Machine Translation (HP)
|
98% |
8052
139.1 IPS |
|
|
Machine Translation (Q)
|
98% |
8121
140.3 IPS |
