iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
3089
Single Precision Score
5419
Half Precision Score
4440
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | jayt |
| Upload Date | October 16 2025 01:11 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1307
243.1 IPS |
|
|
Image Classification (HP)
|
100% |
2200
409.2 IPS |
|
|
Image Classification (Q)
|
96% |
1575
294.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1318
21.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2194
35.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2518
40.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6031
7.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
14109
16.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12072
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1374
109.0 IPS |
|
|
Object Detection (HP)
|
97% |
2387
190.0 IPS |
|
|
Object Detection (Q)
|
94% |
1769
141.0 IPS |
|
|
Face Detection (SP)
|
100% |
2958
35.1 IPS |
|
|
Face Detection (HP)
|
100% |
5382
63.9 IPS |
|
|
Face Detection (Q)
|
100% |
3142
37.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5432
41.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
10337
79.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7331
57.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16404
21.1 IPS |
|
|
Style Transfer (HP)
|
100% |
26091
33.5 IPS |
|
|
Style Transfer (Q)
|
96% |
21746
28.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3450
127.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4651
171.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3525
130.2 IPS |
|
|
Text Classification (SP)
|
100% |
2467
3.29 KIPS |
|
|
Text Classification (HP)
|
99% |
4263
5.69 KIPS |
|
|
Text Classification (Q)
|
93% |
4258
5.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
2477
42.7 IPS |
|
|
Machine Translation (HP)
|
98% |
4676
80.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4685
81.0 IPS |
