iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
3230
Single Precision Score
14443
Half Precision Score
14041
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | pers1 |
| Upload Date | October 10 2024 07:23 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| Model | iPad Pro (12.9-inch 5th generation) |
| Model ID | iPad13,9 |
| Motherboard | J522xAP |
| 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 | 15.35 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1386
257.7 IPS |
|
|
Image Classification (HP)
|
100% |
6263
1.16 KIPS |
|
|
Image Classification (Q)
|
96% |
5874
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1374
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
6646
107.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
6765
109.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6519
7.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
68566
80.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
66269
77.7 IPS |
|
|
Object Detection (SP)
|
100% |
1512
120.0 IPS |
|
|
Object Detection (HP)
|
99% |
7157
569.3 IPS |
|
|
Object Detection (Q)
|
91% |
6490
518.6 IPS |
|
|
Face Detection (SP)
|
100% |
3037
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
16514
196.2 IPS |
|
|
Face Detection (Q)
|
100% |
15156
180.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5800
44.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
46631
359.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
46773
365.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17222
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
119874
154.1 IPS |
|
|
Style Transfer (Q)
|
96% |
114928
148.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3742
138.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22883
845.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23534
869.0 IPS |
|
|
Text Classification (SP)
|
100% |
2281
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3924
5.24 KIPS |
|
|
Text Classification (Q)
|
93% |
3913
5.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
2544
43.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2333
40.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2323
40.1 IPS |
