iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
3233
Single Precision Score
5308
Half Precision Score
4664
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | roobarb! |
| Upload Date | August 15 2024 10:14 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1405
261.4 IPS |
|
|
Image Classification (HP)
|
100% |
2175
404.4 IPS |
|
|
Image Classification (Q)
|
99% |
2164
403.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1379
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2200
35.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
2199
35.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6522
7.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
13926
16.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
11899
13.9 IPS |
|
|
Object Detection (SP)
|
100% |
1520
120.6 IPS |
|
|
Object Detection (HP)
|
97% |
2432
193.6 IPS |
|
|
Object Detection (Q)
|
94% |
1798
143.3 IPS |
|
|
Face Detection (SP)
|
100% |
3033
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
5564
66.1 IPS |
|
|
Face Detection (Q)
|
100% |
3211
38.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5818
44.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
11071
85.6 IPS |
|
|
Depth Estimation (Q)
|
97% |
11041
85.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17198
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
26577
34.2 IPS |
|
|
Style Transfer (Q)
|
100% |
26401
33.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3754
138.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4415
163.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3360
124.5 IPS |
|
|
Text Classification (SP)
|
100% |
2272
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3933
5.25 KIPS |
|
|
Text Classification (Q)
|
93% |
3919
5.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
2511
43.3 IPS |
|
|
Machine Translation (HP)
|
98% |
3858
66.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3884
67.1 IPS |
