iPad Pro 13-inch (M4)
Geekbench AI Score
10132
Single Precision Score
11993
Half Precision Score
10170
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 11 2025 11:48 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
4530
842.5 IPS |
|
|
Image Classification (HP)
|
100% |
4982
926.5 IPS |
|
|
Image Classification (Q)
|
96% |
4470
834.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
7238
117.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
8204
133.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
7689
124.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
27095
31.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
31223
36.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
30189
35.4 IPS |
|
|
Object Detection (SP)
|
100% |
4616
366.2 IPS |
|
|
Object Detection (HP)
|
100% |
5210
413.2 IPS |
|
|
Object Detection (Q)
|
92% |
4814
384.2 IPS |
|
|
Face Detection (SP)
|
100% |
12814
152.3 IPS |
|
|
Face Detection (HP)
|
100% |
16987
201.8 IPS |
|
|
Face Detection (Q)
|
100% |
13573
161.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
20097
154.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
22301
171.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
20476
159.9 IPS |
|
|
Style Transfer (SP)
|
100% |
56472
72.6 IPS |
|
|
Style Transfer (HP)
|
100% |
67329
86.6 IPS |
|
|
Style Transfer (Q)
|
96% |
65397
84.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11405
421.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12132
448.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10725
396.0 IPS |
|
|
Text Classification (SP)
|
100% |
3396
4.53 KIPS |
|
|
Text Classification (HP)
|
99% |
5732
7.65 KIPS |
|
|
Text Classification (Q)
|
93% |
5733
7.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
4938
85.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5222
90.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2122
36.7 IPS |
