iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
5332
Single Precision Score
6282
Half Precision Score
5875
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | HNSDMPF |
| Upload Date | June 08 2025 03:53 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2228
414.3 IPS |
|
|
Image Classification (HP)
|
100% |
2160
401.7 IPS |
|
|
Image Classification (Q)
|
96% |
2217
414.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3994
64.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4334
70.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4161
67.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
17634
20.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19268
22.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
19083
22.4 IPS |
|
|
Object Detection (SP)
|
100% |
2817
223.5 IPS |
|
|
Object Detection (HP)
|
100% |
2980
236.4 IPS |
|
|
Object Detection (Q)
|
92% |
2746
219.2 IPS |
|
|
Face Detection (SP)
|
100% |
6686
79.4 IPS |
|
|
Face Detection (HP)
|
100% |
8713
103.5 IPS |
|
|
Face Detection (Q)
|
100% |
7590
90.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
13075
100.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
14228
109.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
13054
102.0 IPS |
|
|
Style Transfer (SP)
|
100% |
29111
37.4 IPS |
|
|
Style Transfer (HP)
|
100% |
35386
45.5 IPS |
|
|
Style Transfer (Q)
|
96% |
35112
45.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7092
261.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7951
293.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6411
236.7 IPS |
|
|
Text Classification (SP)
|
100% |
1695
2.26 KIPS |
|
|
Text Classification (HP)
|
100% |
3901
5.21 KIPS |
|
|
Text Classification (Q)
|
93% |
3601
4.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
1374
23.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1310
22.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1263
21.8 IPS |
