iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
3207
Single Precision Score
5385
Half Precision Score
4425
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 13 2025 06:01 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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 | 7.35 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1411
262.5 IPS |
|
|
Image Classification (HP)
|
100% |
2197
408.7 IPS |
|
|
Image Classification (Q)
|
96% |
1580
295.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1355
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2145
34.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2537
41.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6500
7.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
14242
16.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12198
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1500
118.9 IPS |
|
|
Object Detection (HP)
|
97% |
2416
192.3 IPS |
|
|
Object Detection (Q)
|
94% |
1783
142.1 IPS |
|
|
Face Detection (SP)
|
100% |
3004
35.7 IPS |
|
|
Face Detection (HP)
|
100% |
5427
64.5 IPS |
|
|
Face Detection (Q)
|
100% |
3162
37.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5660
43.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
10415
80.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7357
57.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16949
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
26854
34.5 IPS |
|
|
Style Transfer (Q)
|
96% |
22319
28.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3695
136.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4604
170.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3519
130.0 IPS |
|
|
Text Classification (SP)
|
100% |
2299
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3979
5.31 KIPS |
|
|
Text Classification (Q)
|
93% |
3974
5.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
2528
43.6 IPS |
|
|
Machine Translation (HP)
|
98% |
4553
78.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4556
78.7 IPS |
