iPad Pro 13-inch (M4)
Geekbench AI Score
9656
Single Precision Score
11096
Half Precision Score
9970
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | jungsungyun |
| Upload Date | October 22 2025 05:46 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4534
843.2 IPS |
|
|
Image Classification (HP)
|
100% |
4924
915.7 IPS |
|
|
Image Classification (Q)
|
96% |
4369
815.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
7154
116.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
7945
128.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
7663
124.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
27322
31.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
30983
36.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
30141
35.3 IPS |
|
|
Object Detection (SP)
|
100% |
4571
362.5 IPS |
|
|
Object Detection (HP)
|
100% |
5108
405.2 IPS |
|
|
Object Detection (Q)
|
92% |
4751
379.2 IPS |
|
|
Face Detection (SP)
|
100% |
12725
151.2 IPS |
|
|
Face Detection (HP)
|
100% |
16749
199.0 IPS |
|
|
Face Detection (Q)
|
100% |
13493
160.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
20037
154.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
22209
171.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
20347
158.9 IPS |
|
|
Style Transfer (SP)
|
100% |
55707
71.6 IPS |
|
|
Style Transfer (HP)
|
100% |
67472
86.7 IPS |
|
|
Style Transfer (Q)
|
96% |
65672
84.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11134
411.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11402
421.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10158
375.1 IPS |
|
|
Text Classification (SP)
|
100% |
3172
4.23 KIPS |
|
|
Text Classification (HP)
|
99% |
5628
7.51 KIPS |
|
|
Text Classification (Q)
|
93% |
5598
7.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
3468
59.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2839
48.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1976
34.1 IPS |
