iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
5190
Single Precision Score
5980
Half Precision Score
5598
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 09 2025 12:52 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad Pro (12.9-inch 5th generation) |
| Model ID | iPad13,11 |
| Motherboard | J523xAP |
| 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 | 15.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2174
404.3 IPS |
|
|
Image Classification (HP)
|
100% |
2154
400.5 IPS |
|
|
Image Classification (Q)
|
96% |
2138
399.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3980
64.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4261
69.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4090
66.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
16839
19.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18926
22.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
18180
21.3 IPS |
|
|
Object Detection (SP)
|
100% |
2657
210.7 IPS |
|
|
Object Detection (HP)
|
100% |
2683
212.8 IPS |
|
|
Object Detection (Q)
|
92% |
2467
196.9 IPS |
|
|
Face Detection (SP)
|
100% |
6712
79.8 IPS |
|
|
Face Detection (HP)
|
100% |
8526
101.3 IPS |
|
|
Face Detection (Q)
|
100% |
7081
84.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
12405
95.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
13919
107.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
12671
99.0 IPS |
|
|
Style Transfer (SP)
|
100% |
28819
37.0 IPS |
|
|
Style Transfer (HP)
|
100% |
34673
44.6 IPS |
|
|
Style Transfer (Q)
|
96% |
34203
44.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6341
234.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7155
264.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5892
217.6 IPS |
|
|
Text Classification (SP)
|
100% |
2405
3.21 KIPS |
|
|
Text Classification (HP)
|
99% |
4140
5.53 KIPS |
|
|
Text Classification (Q)
|
93% |
4150
5.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
1002
17.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1031
17.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1027
17.7 IPS |
