iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
5140
Single Precision Score
6067
Half Precision Score
5548
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 16 2025 04:42 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| Model | iPad Pro (12.9-inch 5th generation) |
| Model ID | iPad13,10 |
| Motherboard | J523AP |
| CPU Information | |
|---|---|
| Name | Apple M1 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1995
371.1 IPS |
|
|
Image Classification (HP)
|
100% |
2342
435.6 IPS |
|
|
Image Classification (Q)
|
96% |
2001
373.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
4020
65.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4244
68.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4081
66.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
17072
19.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
18964
22.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
18300
21.4 IPS |
|
|
Object Detection (SP)
|
100% |
2643
209.6 IPS |
|
|
Object Detection (HP)
|
100% |
2675
212.2 IPS |
|
|
Object Detection (Q)
|
92% |
2456
196.0 IPS |
|
|
Face Detection (SP)
|
100% |
6777
80.5 IPS |
|
|
Face Detection (HP)
|
100% |
8617
102.4 IPS |
|
|
Face Detection (Q)
|
100% |
7098
84.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
12489
96.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
13988
107.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
12620
98.6 IPS |
|
|
Style Transfer (SP)
|
100% |
28732
36.9 IPS |
|
|
Style Transfer (HP)
|
100% |
35452
45.6 IPS |
|
|
Style Transfer (Q)
|
96% |
33265
42.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6299
232.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7204
266.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5917
218.5 IPS |
|
|
Text Classification (SP)
|
100% |
2362
3.15 KIPS |
|
|
Text Classification (HP)
|
99% |
4236
5.65 KIPS |
|
|
Text Classification (Q)
|
93% |
4181
5.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
985
17.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1029
17.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1023
17.7 IPS |
