iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
3095
Single Precision Score
5423
Half Precision Score
4433
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 20 2025 08:56 AM |
| Views | 2 |
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 | iPad13,10 |
| Motherboard | J523AP |
| 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% |
1308
243.2 IPS |
|
|
Image Classification (HP)
|
100% |
2200
409.1 IPS |
|
|
Image Classification (Q)
|
96% |
1570
293.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1311
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2135
34.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2532
41.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6027
7.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
14121
16.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12128
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1388
110.1 IPS |
|
|
Object Detection (HP)
|
97% |
2417
192.4 IPS |
|
|
Object Detection (Q)
|
94% |
1790
142.7 IPS |
|
|
Face Detection (SP)
|
100% |
2973
35.3 IPS |
|
|
Face Detection (HP)
|
100% |
5404
64.2 IPS |
|
|
Face Detection (Q)
|
100% |
3163
37.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5490
42.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
10441
80.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7392
57.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16521
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
26137
33.6 IPS |
|
|
Style Transfer (Q)
|
96% |
21761
28.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3500
129.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4816
177.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3502
129.3 IPS |
|
|
Text Classification (SP)
|
100% |
2409
3.22 KIPS |
|
|
Text Classification (HP)
|
99% |
4150
5.54 KIPS |
|
|
Text Classification (Q)
|
93% |
4079
5.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
2477
42.7 IPS |
|
|
Machine Translation (HP)
|
98% |
4663
80.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4679
80.9 IPS |
