iPad Pro 13-inch (M4)
Geekbench AI Score
4969
Single Precision Score
8046
Half Precision Score
6454
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 23 2025 04:36 AM |
| Views | 1 |
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 | iPad16,5 |
| 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% |
2121
394.5 IPS |
|
|
Image Classification (HP)
|
100% |
3372
627.0 IPS |
|
|
Image Classification (Q)
|
96% |
2354
439.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2169
35.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3200
51.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3556
57.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10029
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19431
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16636
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2442
193.7 IPS |
|
|
Object Detection (HP)
|
97% |
3774
300.5 IPS |
|
|
Object Detection (Q)
|
94% |
2706
215.7 IPS |
|
|
Face Detection (SP)
|
100% |
4298
51.1 IPS |
|
|
Face Detection (HP)
|
100% |
7676
91.2 IPS |
|
|
Face Detection (Q)
|
100% |
4403
52.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8519
65.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14040
108.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9888
77.2 IPS |
|
|
Style Transfer (SP)
|
100% |
24353
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38706
49.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31789
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6067
224.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7200
265.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5002
184.7 IPS |
|
|
Text Classification (SP)
|
100% |
3277
4.37 KIPS |
|
|
Text Classification (HP)
|
99% |
5902
7.88 KIPS |
|
|
Text Classification (Q)
|
93% |
5922
7.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
4598
79.2 IPS |
|
|
Machine Translation (HP)
|
98% |
8114
140.2 IPS |
|
|
Machine Translation (Q)
|
98% |
8121
140.3 IPS |
