iPad Pro 13-inch (M4)
Geekbench AI Score
10039
Single Precision Score
11942
Half Precision Score
10342
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Kurtp |
| Upload Date | December 02 2025 11:20 AM |
| Views | 6 |
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 | iPad16,6 |
| Motherboard | J721AP |
| 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
842.4 IPS |
|
|
Image Classification (HP)
|
100% |
5034
936.1 IPS |
|
|
Image Classification (Q)
|
96% |
4439
828.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
7107
115.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
8017
130.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
7712
125.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
27075
31.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
30970
36.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
30182
35.4 IPS |
|
|
Object Detection (SP)
|
100% |
4615
366.0 IPS |
|
|
Object Detection (HP)
|
100% |
5222
414.2 IPS |
|
|
Object Detection (Q)
|
92% |
4817
384.5 IPS |
|
|
Face Detection (SP)
|
100% |
12666
150.5 IPS |
|
|
Face Detection (HP)
|
100% |
16859
200.3 IPS |
|
|
Face Detection (Q)
|
100% |
13540
160.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
20036
154.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
22353
172.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
20387
159.2 IPS |
|
|
Style Transfer (SP)
|
100% |
56065
72.1 IPS |
|
|
Style Transfer (HP)
|
100% |
67170
86.3 IPS |
|
|
Style Transfer (Q)
|
96% |
65303
84.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11376
420.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11765
434.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10292
380.0 IPS |
|
|
Text Classification (SP)
|
100% |
3231
4.31 KIPS |
|
|
Text Classification (HP)
|
99% |
5759
7.69 KIPS |
|
|
Text Classification (Q)
|
93% |
5732
7.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
4943
85.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5270
90.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2645
45.7 IPS |
