iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
5250
Single Precision Score
5982
Half Precision Score
5628
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 09 2025 10:03 PM |
| Views | 6 |
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 | iPad13,8 |
| 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% |
2209
410.8 IPS |
|
|
Image Classification (HP)
|
100% |
1972
366.8 IPS |
|
|
Image Classification (Q)
|
96% |
2161
403.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
4018
65.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4264
69.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4106
66.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
17007
19.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18961
22.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
18535
21.7 IPS |
|
|
Object Detection (SP)
|
100% |
2684
212.9 IPS |
|
|
Object Detection (HP)
|
100% |
2695
213.8 IPS |
|
|
Object Detection (Q)
|
92% |
2458
196.2 IPS |
|
|
Face Detection (SP)
|
100% |
6884
81.8 IPS |
|
|
Face Detection (HP)
|
100% |
8572
101.9 IPS |
|
|
Face Detection (Q)
|
100% |
7082
84.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
12464
96.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
14049
108.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
12796
99.9 IPS |
|
|
Style Transfer (SP)
|
100% |
28963
37.2 IPS |
|
|
Style Transfer (HP)
|
100% |
35297
45.4 IPS |
|
|
Style Transfer (Q)
|
96% |
33360
43.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6388
235.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7255
267.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5961
220.1 IPS |
|
|
Text Classification (SP)
|
100% |
2421
3.23 KIPS |
|
|
Text Classification (HP)
|
99% |
4174
5.57 KIPS |
|
|
Text Classification (Q)
|
93% |
4151
5.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
1022
17.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1062
18.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1055
18.2 IPS |
