iPad Pro 13-inch (M4)
Geekbench AI Score
4967
Single Precision Score
8052
Half Precision Score
6443
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 20 2025 11:14 AM |
| Views | 2 |
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, 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% |
2087
388.1 IPS |
|
|
Image Classification (HP)
|
100% |
3382
628.9 IPS |
|
|
Image Classification (Q)
|
96% |
2356
440.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2121
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3189
51.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3547
57.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9955
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19459
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16665
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2435
193.2 IPS |
|
|
Object Detection (HP)
|
97% |
3764
299.6 IPS |
|
|
Object Detection (Q)
|
94% |
2702
215.4 IPS |
|
|
Face Detection (SP)
|
100% |
4289
51.0 IPS |
|
|
Face Detection (HP)
|
100% |
7817
92.9 IPS |
|
|
Face Detection (Q)
|
100% |
4446
52.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8539
65.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14060
108.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9927
77.5 IPS |
|
|
Style Transfer (SP)
|
100% |
24681
31.7 IPS |
|
|
Style Transfer (HP)
|
100% |
38832
49.9 IPS |
|
|
Style Transfer (Q)
|
96% |
31824
41.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6098
225.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7215
266.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4987
184.2 IPS |
|
|
Text Classification (SP)
|
100% |
3410
4.55 KIPS |
|
|
Text Classification (HP)
|
99% |
5822
7.77 KIPS |
|
|
Text Classification (Q)
|
93% |
5800
7.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
4537
78.2 IPS |
|
|
Machine Translation (HP)
|
98% |
8091
139.8 IPS |
|
|
Machine Translation (Q)
|
98% |
8072
139.5 IPS |
