iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
3066
Single Precision Score
5369
Half Precision Score
4414
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 23 2025 12:08 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1296
241.0 IPS |
|
|
Image Classification (HP)
|
100% |
2181
405.6 IPS |
|
|
Image Classification (Q)
|
96% |
1565
292.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1300
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2125
34.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2508
40.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6010
7.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
14032
16.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
12069
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1373
108.9 IPS |
|
|
Object Detection (HP)
|
97% |
2394
190.6 IPS |
|
|
Object Detection (Q)
|
94% |
1775
141.5 IPS |
|
|
Face Detection (SP)
|
100% |
2936
34.9 IPS |
|
|
Face Detection (HP)
|
100% |
5369
63.8 IPS |
|
|
Face Detection (Q)
|
100% |
3129
37.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5424
41.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
10340
79.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7331
57.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16379
21.1 IPS |
|
|
Style Transfer (HP)
|
100% |
26053
33.5 IPS |
|
|
Style Transfer (Q)
|
96% |
21762
28.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3446
127.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4623
170.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3509
129.6 IPS |
|
|
Text Classification (SP)
|
100% |
2376
3.17 KIPS |
|
|
Text Classification (HP)
|
99% |
4059
5.42 KIPS |
|
|
Text Classification (Q)
|
93% |
4032
5.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
2474
42.6 IPS |
|
|
Machine Translation (HP)
|
98% |
4717
81.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4730
81.7 IPS |
