iPad Pro 13-inch (M4)
Geekbench AI Score
10084
Single Precision Score
11991
Half Precision Score
11120
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 05 2025 12:26 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 | iPad16,6 |
| 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% |
4582
852.2 IPS |
|
|
Image Classification (HP)
|
100% |
5035
936.4 IPS |
|
|
Image Classification (Q)
|
96% |
4572
853.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
7156
116.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
8004
129.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
7742
125.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
27087
31.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
30978
36.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
30169
35.3 IPS |
|
|
Object Detection (SP)
|
100% |
4638
367.9 IPS |
|
|
Object Detection (HP)
|
100% |
5185
411.3 IPS |
|
|
Object Detection (Q)
|
92% |
4810
383.9 IPS |
|
|
Face Detection (SP)
|
100% |
12631
150.1 IPS |
|
|
Face Detection (HP)
|
100% |
16807
199.7 IPS |
|
|
Face Detection (Q)
|
100% |
13417
159.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
20081
154.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
22349
172.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
20388
159.2 IPS |
|
|
Style Transfer (SP)
|
100% |
56098
72.1 IPS |
|
|
Style Transfer (HP)
|
100% |
67696
87.0 IPS |
|
|
Style Transfer (Q)
|
96% |
65640
84.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11431
422.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11934
440.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10468
386.5 IPS |
|
|
Text Classification (SP)
|
100% |
3335
4.45 KIPS |
|
|
Text Classification (HP)
|
99% |
6016
8.03 KIPS |
|
|
Text Classification (Q)
|
93% |
5711
7.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
4867
83.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5201
89.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5244
90.6 IPS |
