iPad Pro 13-inch (M4)
Geekbench AI Score
4971
Single Precision Score
8029
Half Precision Score
6451
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | dynamiteCobra88 |
| Upload Date | October 09 2025 03:57 AM |
| Views | 6 |
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% |
2122
394.6 IPS |
|
|
Image Classification (HP)
|
100% |
3376
627.8 IPS |
|
|
Image Classification (Q)
|
96% |
2348
438.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2202
35.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3216
52.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3558
57.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10054
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19435
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16622
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2438
193.4 IPS |
|
|
Object Detection (HP)
|
97% |
3806
303.0 IPS |
|
|
Object Detection (Q)
|
94% |
2717
216.6 IPS |
|
|
Face Detection (SP)
|
100% |
4301
51.1 IPS |
|
|
Face Detection (HP)
|
100% |
7648
90.9 IPS |
|
|
Face Detection (Q)
|
100% |
4414
52.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8557
65.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14101
109.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9944
77.6 IPS |
|
|
Style Transfer (SP)
|
100% |
24375
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38655
49.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31711
40.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6074
224.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7090
261.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4988
184.2 IPS |
|
|
Text Classification (SP)
|
100% |
3232
4.31 KIPS |
|
|
Text Classification (HP)
|
99% |
5794
7.73 KIPS |
|
|
Text Classification (Q)
|
93% |
5985
8.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
4577
78.8 IPS |
|
|
Machine Translation (HP)
|
98% |
8097
139.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7962
137.6 IPS |
