iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
5203
Single Precision Score
6009
Half Precision Score
5625
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 29 2026 08:46 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 26.2.1 |
| 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% |
2243
417.1 IPS |
|
|
Image Classification (HP)
|
100% |
2224
413.6 IPS |
|
|
Image Classification (Q)
|
96% |
2155
402.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4009
65.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4275
69.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4091
66.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
16839
19.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18781
21.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
18283
21.4 IPS |
|
|
Object Detection (SP)
|
100% |
2643
209.7 IPS |
|
|
Object Detection (HP)
|
100% |
2681
212.7 IPS |
|
|
Object Detection (Q)
|
92% |
2466
196.8 IPS |
|
|
Face Detection (SP)
|
100% |
6868
81.6 IPS |
|
|
Face Detection (HP)
|
100% |
8550
101.6 IPS |
|
|
Face Detection (Q)
|
100% |
7092
84.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
12491
96.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
13949
107.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
12673
99.0 IPS |
|
|
Style Transfer (SP)
|
100% |
28791
37.0 IPS |
|
|
Style Transfer (HP)
|
100% |
35334
45.4 IPS |
|
|
Style Transfer (Q)
|
96% |
34182
44.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6275
231.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7162
264.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5936
219.2 IPS |
|
|
Text Classification (SP)
|
100% |
2375
3.17 KIPS |
|
|
Text Classification (HP)
|
99% |
4175
5.57 KIPS |
|
|
Text Classification (Q)
|
93% |
4147
5.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
987
17.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1019
17.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1055
18.2 IPS |
