iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
5148
Single Precision Score
5894
Half Precision Score
5483
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | September 02 2025 02:19 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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 | 15.35 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2168
403.3 IPS |
|
|
Image Classification (HP)
|
100% |
1962
364.8 IPS |
|
|
Image Classification (Q)
|
96% |
1895
353.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3951
64.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4238
68.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4047
65.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
16666
19.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
19018
22.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
18123
21.2 IPS |
|
|
Object Detection (SP)
|
100% |
2663
211.2 IPS |
|
|
Object Detection (HP)
|
100% |
2682
212.8 IPS |
|
|
Object Detection (Q)
|
92% |
2464
196.7 IPS |
|
|
Face Detection (SP)
|
100% |
6746
80.2 IPS |
|
|
Face Detection (HP)
|
100% |
8487
100.8 IPS |
|
|
Face Detection (Q)
|
100% |
7093
84.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
12296
94.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
13896
107.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
12735
99.5 IPS |
|
|
Style Transfer (SP)
|
100% |
28782
37.0 IPS |
|
|
Style Transfer (HP)
|
100% |
34835
44.8 IPS |
|
|
Style Transfer (Q)
|
96% |
32825
42.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6387
235.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7258
268.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6086
224.7 IPS |
|
|
Text Classification (SP)
|
100% |
2318
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
3981
5.31 KIPS |
|
|
Text Classification (Q)
|
93% |
3965
5.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
973
16.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1005
17.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1004
17.4 IPS |
