iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
3207
Single Precision Score
5407
Half Precision Score
4430
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Surinder |
| Upload Date | November 23 2025 05:58 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
2220
412.8 IPS |
|
|
Image Classification (Q)
|
96% |
1571
293.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1362
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2225
36.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2541
41.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6502
7.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
14235
16.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12234
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1503
119.3 IPS |
|
|
Object Detection (HP)
|
97% |
2417
192.4 IPS |
|
|
Object Detection (Q)
|
94% |
1793
142.9 IPS |
|
|
Face Detection (SP)
|
100% |
3029
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
5469
65.0 IPS |
|
|
Face Detection (Q)
|
100% |
3184
37.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5667
43.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10267
79.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7375
57.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16974
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
26945
34.6 IPS |
|
|
Style Transfer (Q)
|
96% |
22363
28.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3688
136.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4601
169.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3525
130.2 IPS |
|
|
Text Classification (SP)
|
100% |
2297
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4035
5.39 KIPS |
|
|
Text Classification (Q)
|
93% |
4022
5.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
2488
42.9 IPS |
|
|
Machine Translation (HP)
|
98% |
4476
77.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4468
77.2 IPS |
