iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
2092
Single Precision Score
3579
Half Precision Score
2880
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 24 2025 01:43 PM |
| Views | 1 |
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 | iPad13,10 |
| 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% |
837
155.6 IPS |
|
|
Image Classification (HP)
|
100% |
1385
257.6 IPS |
|
|
Image Classification (Q)
|
96% |
975
182.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
933
15.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1465
23.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
1615
26.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3953
4.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
9215
10.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
7790
9.13 IPS |
|
|
Object Detection (SP)
|
100% |
914
72.5 IPS |
|
|
Object Detection (HP)
|
97% |
1568
124.8 IPS |
|
|
Object Detection (Q)
|
94% |
1131
90.1 IPS |
|
|
Face Detection (SP)
|
100% |
2129
25.3 IPS |
|
|
Face Detection (HP)
|
100% |
3632
43.2 IPS |
|
|
Face Detection (Q)
|
100% |
2050
24.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3569
27.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
6755
52.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
4679
36.6 IPS |
|
|
Style Transfer (SP)
|
100% |
10968
14.1 IPS |
|
|
Style Transfer (HP)
|
100% |
17094
22.0 IPS |
|
|
Style Transfer (Q)
|
96% |
14104
18.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2379
87.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2997
110.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2239
82.7 IPS |
|
|
Text Classification (SP)
|
100% |
1611
2.15 KIPS |
|
|
Text Classification (HP)
|
99% |
2747
3.67 KIPS |
|
|
Text Classification (Q)
|
93% |
2736
3.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
1790
30.8 IPS |
|
|
Machine Translation (HP)
|
98% |
3407
58.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3424
59.2 IPS |
