iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
3219
Single Precision Score
5399
Half Precision Score
4422
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 08 2025 07:21 PM |
| Views | 1 |
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% |
1417
263.6 IPS |
|
|
Image Classification (HP)
|
100% |
2221
413.1 IPS |
|
|
Image Classification (Q)
|
96% |
1581
295.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1407
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2155
34.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2530
41.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6494
7.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
14254
16.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12233
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1502
119.1 IPS |
|
|
Object Detection (HP)
|
97% |
2417
192.4 IPS |
|
|
Object Detection (Q)
|
94% |
1786
142.4 IPS |
|
|
Face Detection (SP)
|
100% |
3023
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
5434
64.6 IPS |
|
|
Face Detection (Q)
|
100% |
3164
37.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5664
43.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
10459
80.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7360
57.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16960
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
26955
34.7 IPS |
|
|
Style Transfer (Q)
|
96% |
22351
28.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3702
136.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4632
171.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3520
130.0 IPS |
|
|
Text Classification (SP)
|
100% |
2286
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3991
5.33 KIPS |
|
|
Text Classification (Q)
|
93% |
3964
5.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
2500
43.1 IPS |
|
|
Machine Translation (HP)
|
98% |
4512
78.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4514
78.0 IPS |
