iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
3217
Single Precision Score
5386
Half Precision Score
4434
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | jmvioque |
| Upload Date | July 02 2025 06:25 PM |
| Views | 5 |
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% |
1423
264.6 IPS |
|
|
Image Classification (HP)
|
100% |
2198
408.8 IPS |
|
|
Image Classification (Q)
|
96% |
1586
296.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1368
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2152
34.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2548
41.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6512
7.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
14265
16.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12222
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1499
118.9 IPS |
|
|
Object Detection (HP)
|
97% |
2423
192.9 IPS |
|
|
Object Detection (Q)
|
94% |
1790
142.7 IPS |
|
|
Face Detection (SP)
|
100% |
3024
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
5440
64.6 IPS |
|
|
Face Detection (Q)
|
100% |
3171
37.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5684
43.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
10467
80.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7369
57.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16957
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
26982
34.7 IPS |
|
|
Style Transfer (Q)
|
96% |
22344
28.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3689
136.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4603
170.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3528
130.3 IPS |
|
|
Text Classification (SP)
|
100% |
2286
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3963
5.29 KIPS |
|
|
Text Classification (Q)
|
93% |
3939
5.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
2545
43.8 IPS |
|
|
Machine Translation (HP)
|
98% |
4484
77.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4585
79.2 IPS |
