iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
5198
Single Precision Score
6005
Half Precision Score
5533
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 20 2025 06:41 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPad Pro (12.9-inch 5th generation) |
| Model ID | iPad13,8 |
| Motherboard | J522AP |
| 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% |
2155
400.8 IPS |
|
|
Image Classification (HP)
|
100% |
2288
425.4 IPS |
|
|
Image Classification (Q)
|
96% |
1958
365.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
4017
65.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4243
68.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4099
66.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
17012
19.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
18844
22.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
18249
21.4 IPS |
|
|
Object Detection (SP)
|
100% |
2659
210.9 IPS |
|
|
Object Detection (HP)
|
100% |
2673
212.0 IPS |
|
|
Object Detection (Q)
|
92% |
2428
193.8 IPS |
|
|
Face Detection (SP)
|
100% |
6856
81.5 IPS |
|
|
Face Detection (HP)
|
100% |
8461
100.5 IPS |
|
|
Face Detection (Q)
|
100% |
7065
84.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
12465
96.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
13858
106.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
12695
99.2 IPS |
|
|
Style Transfer (SP)
|
100% |
28640
36.8 IPS |
|
|
Style Transfer (HP)
|
100% |
35313
45.4 IPS |
|
|
Style Transfer (Q)
|
96% |
33943
43.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6353
234.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7104
262.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5897
217.7 IPS |
|
|
Text Classification (SP)
|
100% |
2379
3.17 KIPS |
|
|
Text Classification (HP)
|
99% |
4133
5.52 KIPS |
|
|
Text Classification (Q)
|
93% |
4122
5.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
995
17.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1027
17.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1022
17.7 IPS |
