iPad Pro 13-inch (M4)
Geekbench AI Score
4945
Single Precision Score
8060
Half Precision Score
6427
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 18 2025 04:42 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPad Pro 13-inch (M4) |
| Model ID | iPad16,5 |
| Motherboard | J720AP |
| 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% |
2106
391.6 IPS |
|
|
Image Classification (HP)
|
100% |
3398
631.8 IPS |
|
|
Image Classification (Q)
|
96% |
2325
434.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2099
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3200
51.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3523
57.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10024
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19480
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16670
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2440
193.6 IPS |
|
|
Object Detection (HP)
|
97% |
3820
304.1 IPS |
|
|
Object Detection (Q)
|
94% |
2700
215.2 IPS |
|
|
Face Detection (SP)
|
100% |
4290
51.0 IPS |
|
|
Face Detection (HP)
|
100% |
7625
90.6 IPS |
|
|
Face Detection (Q)
|
100% |
4380
52.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8519
65.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14067
108.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9863
77.0 IPS |
|
|
Style Transfer (SP)
|
100% |
24456
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38752
49.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31794
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6077
224.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7238
267.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5043
186.2 IPS |
|
|
Text Classification (SP)
|
100% |
3262
4.35 KIPS |
|
|
Text Classification (HP)
|
99% |
5808
7.75 KIPS |
|
|
Text Classification (Q)
|
93% |
5835
7.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
4572
78.8 IPS |
|
|
Machine Translation (HP)
|
98% |
8190
141.5 IPS |
|
|
Machine Translation (Q)
|
98% |
8076
139.6 IPS |
